LabourMarketAreas

Identification, Tuning, Visualisation and Analysis of Labour Market Areas

v3.4 · Oct 10, 2023 · GPL (>= 2)

Description

Produces Labour Market Areas from commuting flows available at elementary territorial units. It provides tools for automatic tuning based on spatial contiguity. It also allows for statistical analyses and visualisation of the new functional geography.

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NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Luisa Franconi <franconi@istat.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Daniela",
                      family = "Ichim",
                      role = "aut"),
               person(given = "Luisa",
                      family = "Franconi",
                      role = c("aut", "cre"),
                      email = "franconi@istat.it"),
               person(given = "Michele",
                      family = "D'Alo'",
                      role = "aut"),
               person(given = "Guido",
                      family = "van den Heuvel",
                      role = "aut"))
as necessary.

NOTE r-devel-linux-x86_64-debian-clang

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Luisa Franconi <franconi@istat.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Daniela",
                      family = "Ichim",
                      role = "aut"),
               person(given = "Luisa",
                      family = "Franconi",
                      role = c("aut", "cre"),
                      email = "franconi@istat.it"),
               person(given = "Michele",
                      family = "D'Alo'",
                      role = "aut"),
               person(given = "Guido",
                      family = "van den Heuvel",
                      role = "aut"))
as necessary.

NOTE r-devel-linux-x86_64-debian-gcc

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-devel-linux-x86_64-fedora-clang

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-devel-linux-x86_64-fedora-gcc

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-devel-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-devel-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-oldrel-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-oldrel-macos-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-oldrel-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-patched-linux-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-release-linux-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-release-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-release-macos-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

NOTE r-release-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces
    40 | \bold{validity: }{numeric; validity value computed with the current parameters}
       |                  ^
checkRd: (-1) StatClusterData.Rd:42: Lost braces
    42 | \bold{EMP_live_work: }{numeric; number of commuters living and working in the area}
       |                       ^
checkRd: (-1) StatClusterData.Rd:44: Lost braces
    44 | \bold{lma_commuter_percent: }{numeric; the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                              ^
checkRd: (-1) StatClusterData.Rd:46-48: Lost braces
    46 | \bold{Home_Work_Ratio: }{numeric; the quantity 
       |                         ^
checkRd: (-1) StatClusterData.Rd:50: Lost braces
    50 | \bold{SC_demand_side: }{numeric; demand side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:52: Lost braces
    52 | \bold{SC_supply_side: }{numeric; supply side self-containment}
       |                        ^
checkRd: (-1) StatClusterData.Rd:54: Lost braces
    54 | \bold{N_com: }{integer; number of communities forming the LMA}
       |               ^
checkRd: (-1) StatClusterData.Rd:56-57: Lost braces
    56 | \bold{InternalCohesionLink: }{numeric; consistency of internal relationships. It is given by the ratio between number of links between communities inside LMA, excluding itself, and the maximum number of possible links, i.e. (N_com * (N_com-1)). See [1].
       |                              ^
checkRd: (-1) StatClusterData.Rd:59-60: Lost braces
    59 | \bold{InternalCohesionFlows: }{numeric; intensity of internal relationships. It is the percentage of internal flows (excluding flows having as origin and destination the same node) of the LMA between different communities w.r.t the total internal flows. See [3].
       |                               ^
checkRd: (-1) StatClusterData.Rd:62-63: Lost braces
    62 | \bold{NbCentralComm: }{integer; number of communities having a centrality index greater than 1 (for communities with more than 100 workers, the centrality index is the ratio between net incoming flows and net outgoing flows).
       |                       ^
checkRd: (-1) StatClusterData.Rd:65: Lost braces
    65 | \bold{N_links_in: }{integer; number of LMAs whose residents work in the current LMA (including itself) } 
       |                    ^
checkRd: (-1) StatClusterData.Rd:67: Lost braces
    67 | \bold{N_links_out: }{integer; number of LMAs where the residents of the current LMA work (including itself)}
       |                     ^
checkRd: (-1) StatClusterData.Rd:74: Lost braces
    74 | \bold{N_links: }{numeric; number of links between LMAs}
       |                 ^
checkRd: (-1) StatClusterData.Rd:76: Lost braces
    76 | \bold{PercNbLinksLessThreshold: }{numeric; percentage of links corresponding to flows below threshold}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:78: Lost braces
    78 | \bold{summFlows: }{numeric vector; summary statistics on flows}
       |                   ^
checkRd: (-1) StatClusterData.Rd:80: Lost braces
    80 | \bold{summFlowsNoItself: }{numeric vector; summary statistics on flows, excluding the self-flows}
       |                           ^
checkRd: (-1) StatClusterData.Rd:82: Lost braces
    82 | \bold{summLinks_in: }{numeric vector; summary statistics on the number of incoming flows}
       |                      ^
checkRd: (-1) StatClusterData.Rd:84: Lost braces
    84 | \bold{summLinks_out: }{summary statistics on the number of outgoing flows}
       |                       ^
checkRd: (-1) StatClusterData.Rd:86: Lost braces
    86 | \bold{clusterMaxNlinks_in: }{positive integer; the LMA ID of the cluster reaching the maximum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:88: Lost braces
    88 | \bold{clusterMaxNlinks_out: }{positive integer; the LMA ID of the cluster reaching the maximum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:90: Lost braces
    90 | \bold{clusterMinNlinks_in: }{positive integer; the LMA ID of the cluster reaching the minimum number of incoming flows}
       |                             ^
checkRd: (-1) StatClusterData.Rd:92: Lost braces
    92 | \bold{clusterMinNlinks_out: }{positive integer; the LMA ID of the cluster reaching the minimum number of outgoing flows}
       |                              ^
checkRd: (-1) StatClusterData.Rd:98: Lost braces
    98 | \bold{NbClusters: }{integer; number of clusters}
       |                    ^
checkRd: (-1) StatClusterData.Rd:100: Lost braces
   100 | \bold{NbClusterUniqueCom: }{integer; number of clusters with an unique community}
       |                            ^
checkRd: (-1) StatClusterData.Rd:102: Lost braces
   102 | \bold{NbClustersValidLess1: }{integer; number of clusters with validity smaller than 1}
       |                              ^
checkRd: (-1) StatClusterData.Rd:104: Lost braces
   104 | \bold{NbClustersNoCentralCom: }{integer; number of clusters with no communities having a centrality measure greater than 1 }
       |                                ^
checkRd: (-1) StatClusterData.Rd:106: Lost braces
   106 | \bold{Mean.SC_demand_side: }{numeric; mean of the demand side self-containment of the clusters in the partition  }
       |                             ^
checkRd: (-1) StatClusterData.Rd:108: Lost braces
   108 | \bold{Std.SC_demand_side: }{numeric; standard deviation of the demand side self-containment }
       |                            ^
checkRd: (-1) StatClusterData.Rd:110: Lost braces
   110 | \bold{Mean.SC_supply_side: }{numeric; mean of the supply side self-containment of the clusters in the partition }
       |                             ^
checkRd: (-1) StatClusterData.Rd:112: Lost braces
   112 | \bold{Std.SC_supply_side: }{numeric; standard deviation of the supply side self-containment   }
       |                            ^
checkRd: (-1) StatClusterData.Rd:114: Lost braces
   114 | \bold{Q1.InternalCohesionFlows: }{numeric; first quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:116: Lost braces
   116 | \bold{Q2.InternalCohesionFlows: }{numeric; median of the InternalCohesionFlows}
       |                                  ^
checkRd: (-1) StatClusterData.Rd:118: Lost braces
   118 | \bold{Q3.InternalCohesionFlows: }{numeric; third quartile of the InternalCohesionFlows }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:120: Lost braces
   120 | \bold{Q1.InternalCohesionLink: }{numeric; first quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:122: Lost braces
   122 | \bold{Q2.InternalCohesionLink: }{numeric; median of the InternalCohesionLink}
       |                                 ^
checkRd: (-1) StatClusterData.Rd:124: Lost braces
   124 | \bold{Q3.InternalCohesionLink: }{numeric; third quartile of the InternalCohesionLink }
       |                                 ^
checkRd: (-1) StatClusterData.Rd:126: Lost braces
   126 | \bold{Q1.EMP_live: }{numeric; first quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:128: Lost braces
   128 | \bold{Q2.EMP_live: }{numeric; median of the residents}
       |                     ^
checkRd: (-1) StatClusterData.Rd:130: Lost braces
   130 | \bold{Q3.EMP_live: }{numeric; third quartile of the residents }
       |                     ^
checkRd: (-1) StatClusterData.Rd:132: Lost braces
   132 | \bold{Mean.EMP_live: }{numeric; mean value of the residents }
       |                       ^
checkRd: (-1) StatClusterData.Rd:134: Lost braces
   134 | \bold{Std.EMP_live: }{numeric; standard deviation of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:136: Lost braces
   136 | \bold{Min.EMP_live: }{numeric; minimum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:138: Lost braces
   138 | \bold{Max.EMP_live: }{numeric; maximum value of the residents }
       |                      ^
checkRd: (-1) StatClusterData.Rd:140: Lost braces
   140 | \bold{Q1.EMP_work: }{numeric; first quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:142: Lost braces
   142 | \bold{Q2.EMP_work: }{numeric; median of the workers/jobs}
       |                     ^
checkRd: (-1) StatClusterData.Rd:144: Lost braces
   144 | \bold{Q3.EMP_work: }{numeric; third quartile of the workers/jobs }
       |                     ^
checkRd: (-1) StatClusterData.Rd:146: Lost braces
   146 | \bold{Mean.EMP_work: }{numeric; mean value of the workers }
       |                       ^
checkRd: (-1) StatClusterData.Rd:148: Lost braces
   148 | \bold{Std.EMP_work: }{numeric; standard deviation of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:150: Lost braces
   150 | \bold{Min.EMP_work: }{numeric; minimum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:152: Lost braces
   152 | \bold{Max.EMP_work: }{numeric; maximum value of the workers }
       |                      ^
checkRd: (-1) StatClusterData.Rd:154: Lost braces
   154 | \bold{Q1.EMP_live_work: }{numeric; first quartile of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:156: Lost braces
   156 | \bold{Q2.EMP_live_work: }{numeric; median of the commuters living and working in the same area}
       |                          ^
checkRd: (-1) StatClusterData.Rd:158: Lost braces
   158 | \bold{Q3.EMP_live_work: }{numeric; third quartile of the the commuters living and working in the same area }
       |                          ^
checkRd: (-1) StatClusterData.Rd:160: Lost braces
   160 | \bold{Min.EMP_live_work: }{numeric; minimum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:162: Lost braces
   162 | \bold{Max.EMP_live_work: }{numeric; maximum value of the commuters living and working in the same area }
       |                           ^
checkRd: (-1) StatClusterData.Rd:164: Lost braces
   164 | \bold{Mean.lma_commuter_percent: }{numeric; mean value of the quantity: (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                   ^
checkRd: (-1) StatClusterData.Rd:166: Lost braces
   166 | \bold{Std.lma_commuter_percent: }{numeric; standard deviation of the quantity (EMP_live-EMP_live_work)+(EMP_work-EMP_live_work)/(2*EMP_live_work) }
       |                                  ^
checkRd: (-1) StatClusterData.Rd:168-170: Lost braces
   168 | \bold{Mean.Home_Work_Ratio: }{numeric; mean value of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:171-173: Lost braces
   171 |  \bold{Std.Home_Work_Ratio: }{numeric; standard deviation of the quantity 
       |                              ^
checkRd: (-1) StatClusterData.Rd:175: Lost braces
   175 | \bold{Q_modularity: }{numeric; Q_modularity index }
       |                      ^

Check History

NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Luisa Franconi <franconi@istat.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Daniela",
                      family = "Ichim",
                      role = "aut"),
               person(given = "Luisa",
                      family = "Franconi",
                      role = c("aut", "cre"),
                      email = "franconi@istat.it"),
               person(given = "Michele",
                      family = "D'Alo'",

NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Luisa Franconi <franconi@istat.it>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Daniela",
                      family = "Ichim",
                      role = "aut"),
               person(given = "Luisa",
                      family = "Franconi",
                      role = c("aut", "cre"),
                      email = "franconi@istat.it"),
               person(given = "Michele",
                      family = "D'Alo'",

NOTE r-devel-linux-x86_64-fedora-clang

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-devel-linux-x86_64-fedora-gcc

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-devel-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-devel-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-patched-linux-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-release-linux-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-release-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-release-macos-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-release-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-oldrel-macos-arm64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-oldrel-macos-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

NOTE r-oldrel-windows-x86_64

Rd files

checkRd: (-1) StatClusterData.Rd:34: Lost braces
    34 | \bold{LMA: }{ positive integer; labour market areas ID} 
       |             ^
checkRd: (-1) StatClusterData.Rd:36: Lost braces
    36 | \bold{EMP_live: }{numeric; number of commuters who live in the area} 
       |                  ^
checkRd: (-1) StatClusterData.Rd:38: Lost braces
    38 | \bold{EMP_work: }{numeric; number of commuters working in the area}
       |                  ^
checkRd: (-1) StatClusterData.Rd:40: Lost braces

Dependency Network

Version History

new 3.4 Mar 9, 2026

Maintainer

Luisa Franconi

Dependencies

Depends

R (>= 4.0) sp sf

Imports

data.table spdep methods tmap

Suggests

rmarkdown knitr

Compilation

No compilation needed

First Published

Mar 9, 2026

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