sugrrants

0.2.9

Supporting Graphs for Analysing Time Series

1packages depend

8.8Kdownloads / year

63.8%test coverage

13/13checks pass

Overview

About

Maintained by Earo WangFirst published 2017-07-2817 releasesCRAN page ↗GitHub ↗

Provides 'ggplot2' graphics for analysing time series data. It aims to fit into the 'tidyverse' and grammar of graphics framework for handling temporal data.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("sugrrants", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("earowang/sugrrants")

Development version from earowang/sugrrants. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-sugrrants

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-sugrrants

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-sugrrants

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.8 min · r-devel-linux-x86_64-fedora-clang

Code health

Yes

Tests · ratio 0.16

63.8%

Coverage · measured lines

90%

Documentation · exports

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 462 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 89%
Return-value docs: 33%
References docs: 0%

Downloads

8.8K

CRAN downloads in the past year

Rank #6,489 · ~24/day · ~735/mo

Releases R versions

Daily download trend is not available in this view yet.

40730 days

1.5K90 days

8.8K1 year

Compare downloads with other packages →

Also on143 r2u30 autocran72 c2d4u

Repository

GitHub ↗ earowang/sugrrants

81Stars

9Forks

1Open issues

0Open PRs

9Releases

330Commits

1Contributors

rstatistical-graphicstime-series

330 commits · Last activity 2024-03-12

Stars over time

2024-07-14 · 812026-07-07 · 81

Repository practices

Upstream repositoryBeta

10 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/earowang/sugrrants on 2026-07-19.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (2)

data-raw/Makefile

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

Coverage (1)

Codecov

Governance and community (2)

Issue templatesSupport guide

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.1.3ggplot2

Imports (5)

dplyrgridgtable lubridate rlang

LinkingTo (0)

none

Suggests (9)

covr knitr plotly readr rmarkdown testthat tidyr tsibble viridis

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

packageRank

Code & Tests

Code Composition

R 1,610 (68%)Rd 529 (22%)Vignettes 200 (8%)Other 19 (1%)

Code characteristics

Object systems

S36

Cyclomatic complexity: 1.0 median / 29 max
Test cases: 14 / 0.16 per code line

Test coverage

Line coverage

64%

Expression

62.8%

Tests / Examples

63.8% / 58% ex

Functions

54 6 exported

Complexity

2.3 avg / 29 max

Call network

54 nodes / 55 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

54 functions

Function	Cyclo	Coverage
draw_key_acf exp	2	0%
facet_calendar exp	1	0%
geom_acf exp	1	0%
prettify exp	3	0%
stat_acf exp	1	0%
as_facet_date	3	0%

Datasets

Bundled datasets · 1

Name	Class	Rows × Cols	Also ships in
hourly_peds	tbl_df/tbl/data.frame	78,755 × 10	–

People & History

People (3)

Maintainer (1)

Earo Wang

Author, Maintainer

Authors (3)

Earo Wang

Author, Maintainer

Di Cook

Author, Thesis advisor

Rob Hyndman

Author, Thesis advisor

Package Timeline

17 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.2.9Latest
2024-03-12 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.2.8
2020-10-05 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.7
2020-04-18 · diff ↗
0.2.6
2020-03-10 · diff ↗
0.2.5
2020-02-21 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.2.4
2019-04-06 · diff ↗
0.2.3
2019-02-21 · diff ↗
0.2.2
2019-02-02 · diff ↗

Show 11 earlier events

0.2.1
2018-11-28 · diff ↗
0.2.0
2018-10-28 · diff ↗
0.1.6
2018-10-19 · diff ↗
0.1.5
2018-08-19 · diff ↗
0.1.4
2018-07-26 · diff ↗
0.1.3
2018-07-07 · diff ↗
0.1.2
2018-06-05 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.1
2017-11-11 · diff ↗
0.1.0
2017-07-28
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-28
Total releases: 17 / 9 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.1.3
Bundled data: 173 KB / 1 file
Download size: 1.8 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Time Series Analysis

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