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wec

0.4-1

Weighted Effect Coding

0packages depend
3.6Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Rense NieuwenhuisFirst published 2015-08-285 releasesCRAN page ↗

Provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
75%

Downloads

3.6K
CRAN downloads in the past year
Rank #19,086 · ~10/day · ~303/mo
Daily download trend is not available in this view yet.
15230 days
56590 days
3.6K1 year
Compare downloads with other packages →
Also on86 r2u5 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (7)
no longer listed · 0.1 to 0.4-1
no longer listed · 0.1 to 0.4-1
no longer listed · 0.1 to 0.4-1
no longer listed · 0.1 to 0.4-1
no longer listed · 0.1 to 0.4-1
no longer listed · 0.1 to 0.2
no longer listed · 0.3 to 0.4-1
Package Timeline

5 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
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4-1Latest
    2017-10-31 · current release · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.4
    2016-12-14 · diff ↗
  • 0.3
    2016-11-16 · diff ↗
  • 0.2
    2016-10-31 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1
    2015-08-28
Show 1 earlier events
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-08-28
Total releases
5 / 11 yrs
License
GPL-3 OSI
Bundled data
87 KB / 2 files
Download size
94 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("wec")

CRAN DOI

https://doi.org/10.32614/CRAN.package.wec

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorywec,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {wec} version 0.4-1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/wec},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for wec version 0.4-1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/wec

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for wec version 0.4-1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/wec
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/wec.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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