wrMisc
2.1.1Analyze Experimental High-Throughput (Omics) Data
Overview
The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of large data-sets by combining very close values. Other functions help aligning a matrix or data.frame to a reference using partial matching or to mine an experimental setup to extract patterns of replicate samples. Many times large experimental datasets need some additional filtering, adequate functions are provided. Convenient data normalization is supported in various different modes, parameter estimation via permutations or boot-strap as well as flexible testing of multiple pair-wise combinations using the framework of 'limma' is provided, too. Batch reading (or writing) of sets of files and combining data to arrays is supported, too.
Install
Health
- OK2026-06-0812 OK · 0 NOTE · 0 WARNING · 0 ERROR · 1 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 99%
- References docs
- 0%
Downloads
Dependencies
Code & Tests
- Cyclomatic complexity
- 10.0 median / 113 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
281 281 exported
Complexity
17.6 avg / 113 max
Call network
281 nodes / 457 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
43 releases. Pick two to compare their code metrics. R releases are shown for context.
- 2.1.1Latest
- 2.1.02026-06-09 · diff ↗
- 2.0.22026-04-29 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 2.0.02026-03-09 · diff ↗
- 1.15.42025-06-18 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.15.3.12025-04-01 · diff ↗
- 1.15.22024-08-20 · diff ↗
- 1.15.12024-07-22 · diff ↗
- 1.15.0.32024-05-10 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.14.22024-02-28 · diff ↗
- 1.14.12024-02-14 · diff ↗
- 1.14.02023-11-17 · diff ↗
- 1.13.02023-08-10 · diff ↗
Show 35 earlier events
- RR 4.3.0 released · 2023-04-21
- 1.12.02023-03-20 · diff ↗
- 1.11.12023-01-25 · diff ↗
- 1.11.02023-01-06 · diff ↗
- 1.10.22022-11-02 · diff ↗
- 1.10.12022-10-17 · diff ↗
- 1.10.02022-10-03 · diff ↗
- 1.9.22022-07-07 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.9.12022-04-13 · diff ↗
- 1.9.02022-03-25 · diff ↗
- 1.8.12022-01-24 · diff ↗
- 1.8.02021-12-14 · diff ↗
- 1.7.02021-10-28 · diff ↗
- 1.6.22021-09-16 · diff ↗
- 1.6.12021-08-11 · diff ↗
- 1.6.02021-06-04 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.5.42021-03-31 · diff ↗
- 1.5.32021-02-26 · diff ↗
- 1.5.22021-02-09 · diff ↗
- 1.5.12021-01-13 · diff ↗
- 1.5.02020-12-07 · diff ↗
- 1.4.22020-11-20 · diff ↗
- 1.4.12020-11-13 · diff ↗
- 1.4.02020-10-15 · diff ↗
- 1.3.12020-09-18 · diff ↗
- 1.3.02020-07-24 · diff ↗
- 1.2.42020-07-03 · diff ↗
- 1.2.32020-06-16 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.2.02020-04-23 · diff ↗
- 1.1.02019-12-09 · diff ↗
- 1.0.42019-11-04
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-04
- Total releases
- 43 / 7 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.1.0
- Download size
- 764 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet