Package: rempsyc 0.2.0.7

rempsyc: Convenience Functions for Psychology

Make your workflow faster and easier. Easily customizable plots (via 'ggplot2'), nice APA tables (following the style of the *American Psychological Association*) with automatic formatting for common statistical output and export to Word (via 'flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.

Authors:Rémi Thériault [aut, cre]

rempsyc_0.2.0.7.tar.gz
rempsyc_0.2.0.7.zip(r-4.7)rempsyc_0.2.0.7.zip(r-4.6)rempsyc_0.2.0.7.zip(r-4.5)
rempsyc_0.2.0.7.tgz(r-4.6-any)rempsyc_0.2.0.7.tgz(r-4.5-any)
rempsyc_0.2.0.7.tar.gz(r-4.6-any)rempsyc_0.2.0.7.tar.gz(r-4.5-any)
rempsyc_0.2.0.7.tgz(r-4.5-emscripten)
rempsyc.pdf |rempsyc.html✨
rempsyc/json (API)
NEWS

# Install 'rempsyc' in R:
install.packages('rempsyc', repos = c('https://rempsyc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rempsyc/rempsyc/issues

Pkgdown/docs site:https://rempsyc.remi-theriault.com

On CRAN:

Conda:

convenience-functionsggplot2psychologystatisticsvisualization

11.32 score 50 stars 3 packages 406 scripts 5.9k downloads 37 exports 15 dependencies

Last updated from:44ae7336dd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK213
source / vignettesOK322
linux-release-x86_64OK209
macos-release-arm64OK176
macos-oldrel-arm64OK249
windows-develOK194
windows-releaseOK261
windows-oldrelOK154
wasm-releaseOK152

Exports:best_duplicatecormatrix_excelextract_duplicatesfind_madformat_dformat_pformat_rformat_valueget_dep_versiongrouped_bar_chartinstall_if_not_installednice_assumptionsnice_contrastsnice_densitynice_lmnice_lm_contrastsnice_lm_slopesnice_modnice_nanice_normalitynice_qqnice_randomizenice_reversenice_scatternice_slopesnice_spaghettinice_t_testnice_tablenice_varnice_varplotnice_violinoverlap_circleplot_means_over_timeplot_outliersrcompanion_groupwiseMeanscale_madwinsorize_mad

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Planned Contrasts Analyses (Group Comparisons)

Rémi Thériault

Rendered fromcontrasts.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2023-09-12
Started: 2022-07-20

Publication-ready APA tables: from R to Word in 2 min

Rémi Thériault

Rendered fromtable.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2023-10-05
Started: 2022-07-20

Publication-ready moderations with simple slopes in R

Rémi Thériault

Rendered frommoderation.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2025-08-24
Started: 2022-07-20

Publication-ready scatter plots in R

Rémi Thériault

Rendered fromscatter.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2023-07-02
Started: 2022-07-20

Publication-ready t-tests in R

Rémi Thériault

Rendered fromt-test.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2024-06-18
Started: 2022-07-20

Publication-ready violin plots in R

Rémi Thériault

Rendered fromviolin.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2023-07-02
Started: 2022-07-20

Quickly test linear regression assumptions

Rémi Thériault

Rendered fromassumptions.Rmdusingknitr::rmarkdownon Apr 17 2026.

Last update: 2025-02-01
Started: 2022-07-20

Readme and manuals

Help Manual

Help pageTopics
Choose the best duplicatebest_duplicate
Easy export of correlation matrix to Excelcormatrix_excel
Extract all duplicatesextract_duplicates
Identify outliers based on 3 MADfind_mad
Easily format p or r valuesformat_d format_p format_r format_value
Get required version of specified package dependencyget_dep_version
Easy grouped bar charts for categorical variablesgrouped_bar_chart
Install package if not already installedinstall_if_not_installed
Easy assumptions checksnice_assumptions
Easy planned contrastsnice_contrasts
Easy density plotsnice_density
Nice formatting of lm modelsnice_lm
Easy planned contrasts using lm modelsnice_lm_contrasts
Nice formatting of simple slopes for lm modelsnice_lm_slopes
Easy moderationsnice_mod
Report missing values according to guidelinesnice_na
Easy normality check per groupnice_normality
Easy QQ plots per groupnice_qq
Easily randomizationnice_randomize
Easily recode scoresnice_reverse
Easy scatter plotsnice_scatter
Easy simple slopesnice_slopes
Nice Spaghetti Plot for Two Within-Subject Conditionsnice_spaghetti
Easy t-testsnice_t_test
Easily make nice APA tablesnice_table
Obtain variance per groupnice_var
Attempt to visualize variance per groupnice_varplot
Easy violin plotsnice_violin
Interpolate the Inclusion of the Other in the Self Scaleoverlap_circle
Easy scatter plots over multiple times (T1, T2, T3)plot_means_over_time
Visually check outliers (dot plot)plot_outliers
Standardize based on the absolute median deviationscale_mad
Winsorize based on the absolute median deviationwinsorize_mad