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-4.7-any)rempsyc_0.2.0.7.tar.gz(r-4.6-any)
rempsyc_0.2.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
rempsyc/json (API)

# 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

11.29 score 51 stars 3 packages 441 scripts 6.9k downloads 37 exports 15 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK218
source / vignettesOK331
linux-release-x86_64OK192
macos-release-arm64OK250
macos-oldrel-arm64OK183
windows-develOK176
windows-releaseOK166
windows-oldrelOK153
wasm-releaseOK144

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

Publication-ready moderations with simple slopes in R
Getting started | Simple moderation: nice_mod | Open (or save) table to Word | Simple slopes: nice_slopes | Special cases | Covariates | Moderations | Simple slopes | Three-way interaction | Complex models: nice_lm | nice_lm | nice_lm_slopes | Thanks for checking in

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

Quickly test linear regression assumptions
Basic idea | Getting Started | Categorical Predictors | QQ Plots | Make the basic plot | Further customization | Density Plots | Density + QQ Plots | Outliers | Flagging outliers | Winsorizing outliers | Multivariate outliers | Homoscedasticity (equality of variance) | Make the basic table | Visualizing Variance | Thanks for checking in

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

Publication-ready t-tests in R
Getting started | Save table to Word | Special cases | Student t-test (instead of Welch) | One-sided (instead of two-sided) | One-sample (instead of two-sample) | Paired t test (instead of independent samples) | Multiple comparison corrections | Integrations | broom table | report table | Thanks for checking in

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

Publication-ready APA tables: from R to Word in 2 min
Basic idea | Getting started | Publication-ready tables | Custom table | Opening/Saving table to Word | Statistical formatting | Highlighting | Integrations | broom table | report table | rempsyc table | t-tests: nice_t_test | Moderations: nice_mod | Custom cell formatting | p-values | r-values | Custom functions | Further editing | Special situation: multilevel headers | Multilevel heading, with formatting | Thanks for checking in

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

Planned Contrasts Analyses (Group Comparisons)
Basic Idea | Getting started | Using nice_contrasts() | Make it publication-ready using nice_table(). | Make a violin plot comparing groups through nice_violin(). | Full Workflow | Make violin plots comparing groups through nice_violin. | Thanks for checking in

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

Publication-ready scatter plots in R
Basic idea | Getting started | Customization | Change x- and y- axis labels | Have points "jittered" | Change the transparency of the points | Remove points | Add confidence band | Set x- and y- scales manually | Change plot colour | Add correlation coefficient to plot and p-value | Change location of correlation coefficient or p-value | Plot by group | Use full range on the slope/confidence band | Change order of labels on the legend | Change legend labels | Add a title to legend | Plot by group + manually specify colours | Plot by group + use different line types for each group | Plot by group + use different point shapes for each group | Plot by group, point shapes, line types, legend + no colours (black and white) | Putting it all together | Special situation: Add group average | Black line + coloured lines | Black line, coloured dots | Thanks for checking in

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

Publication-ready violin plots in R
Getting started | Save a high-resolution image file to specified directory | Customization | Change x- and y- axes labels | See difference between two groups | See difference between two other groups | Compare all three groups | Include effect size (Cohen's d) | Set the colours manually | Changing the names of the x-axis labels | Removing the x-axis or y-axis titles | Removing the x-axis or y-axis labels (for whatever purpose) | Set y-scale manually | With x number of groups | Plotting individual observations | Micro-Customizations | Bootstrapping | Putting it all together | Special situation: Add other plot elements | Thanks for checking in

Last update: 2023-07-02
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