Convenience Functions for Psychology
Overview
Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
- New CRAN submission
rempsyc 0.1.9.7
- Add more automatic confidence interval column name conversions for
nice_table().
rempsyc 0.1.9.6
- Optimize copilot setup workflow part 2: Replace manual
install.packages()approach with efficientr-lib/actions/setup-r-dependencies@v2using pak for better dependency resolution, automatic caching, and targeted package installation. This follows the proven patterns used in other workflows (R-CMD-check, pkgdown) and eliminates redundant manual caching steps (#63)
rempsyc 0.1.9.5
- Further optimize copilot setup workflow for 50%+ time reduction: Remove redundant system packages (
r-base-dev, graphics libraries), fix R package caching to target correct directories, remove contradictory suggested package installation step, optimize git checkout to use shallow clone, and streamline testing to essential verification only. Combined with previous optimizations, this achieves significant setup time improvements while maintaining core development functionality
rempsyc 0.1.9.4
- Optimize custom copilot setup: Remove suggested packages from automated setup to save 3-7 minutes installation time. Suggested packages are now installed on-demand based on specific PR requirements, following targeted installation approach (#51)
rempsyc 0.1.9.3
nice_lm(): fix bug with factor covariates having more than two levels causing "arguments imply differing number of rows" error (#31)nice_lm_slopes(): add better error message when factor moderators are used, explaining that only continuous moderators are supported. Also add explicit test documenting that continuous moderators work correctly even when models contain factor covariates with multiple levels
Show all changes in 0.2.0Hide the rest of the changes in 0.2.0
rempsyc 0.1.9.2
nice_scatter: Major enhancement with two highly requested features:- **Point ID display**: New
has.idsparameter displays point labels/IDs directly on scatter plots usingggrepelfor intelligent non-overlapping positioning. Useid.columnto specify a custom column for labels, defaults to row names. - **Group-wise correlations**: New
has.group.randhas.group.pparameters display correlation statistics for each group separately with smart anti-overlap positioning. r-values position on left side, p-values on right side to prevent overlap. Includes automatic italic formatting consistent with overall correlation display. - Both features integrate seamlessly with all existing plot options and maintain backward compatibility.
rempsyc 0.1.9.1
nice_table: Fixed cross-environment snapshot test failures by replacing snapshot tests with robust class-based assertions, ensuring consistent behavior across different R environments and platforms.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK, 1 FAILURE2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 34 (2 internal)includes a package overview page
- Examples that run
- 97%30 run in a plain check (20 of them under a condition) · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 94%
- Documented parameters
- 100%
- Return-value docs
- 94%
- Help pages citing references
- 18%
- Planned Contrasts Analyses (Group Comparisons)
- Publication-ready APA tables: from R to Word in 2 min
- Publication-ready moderations with simple slopes in R
- Publication-ready scatter plots in R
- Publication-ready t-tests in R
- Publication-ready violin plots in R
- Quickly test linear regression assumptions
Downloads
Repository
- PRs merged (all time)
- 77%
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
15 development-tooling and community-health practices detected across 8 families in the upstream repository
Checks run against github.com/rempsyc/rempsyc on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Funding links: GitHub Sponsors
The repository owner accepts GitHub Sponsors
GitHub Pages site last deployed 2026-03-18 · The repository has a site deploy workflow
pkgdown site last built 2026-03-18
Show all practicesHide 4 practices
This repository shows signs of AI coding tools.
- GitHub Copilotfirst seen 2025-08-24Seen in the repository: .github/copilot-instructions.md, .github/workflows/copilot-setup-steps.ymlPull request: opened by its own accountCommits: 19 by its own account · at least 19 crediting it in the message
Dependencies
Installing rempsyc adds 15 packages (9 with compiled code, 5.2 MB of source tarballs). Heaviest: vctrs 1.0 MB, dplyr 902 KB, rlang 766 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.0Latest
- RR 4.5.0 released · 2025-04-11
- 0.1.92025-02-02 · diff ↗
- 0.1.8
- RR 4.4.0 released · 2024-04-24
- 0.1.72023-10-10 · diff ↗
- 0.1.62023-09-13 · diff ↗
- 0.1.52023-08-19 · diff ↗
- 0.1.4
- 0.1.32023-06-20 · diff ↗
- 0.1.2
- RR 4.3.0 released · 2023-04-21
- 0.1.12023-02-06 · diff ↗ ·
removed 5 exports
cormatrix_excel_deprecated, save_as_docx, save_as_html, save_as_image, save_as_pptxadded 2 exports
nice_lm_contrasts, plot_outliers - 0.1.02022-11-01 · diff ↗ ·
removed 4 exports
cormatrix_excel2, ggsave, lmSupport_modelEffectSizes, waiveradded 2 exports
cormatrix_excel_deprecated, sr2 - 0.0.92022-09-26
Show 1 earlier eventHide 1 earlier event
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-09-26
- Total releases
- 12 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.6
- Download size
- 4.5 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("rempsyc")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.21105/joss.05466.
The repository also keeps a CITATION.cff.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.