superb: Summary Plots with Adjusted Error Bars

Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superb(), return a plot. It can also be used to obtain a dataframe with the statistics and their precision intervals so that other plotting environments (e.g., Excel) can be used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> or Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001> for specific references. The documentation is available at <https://dcousin3.github.io/superb/> .

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: Rdpack (≥ 0.7), methods, utils, stats, MASS, lsr (≥ 0.5), plyr (≥ 1.8.4), ggplot2 (≥ 3.5.0), stringr, foreign, reshape2, shiny, shinyBS, rrapply
Suggests: psych, rlang, dplyr, gridExtra, emojifont, fMultivar, grid, knitr, lattice, lawstat, boot, png, rmarkdown, RColorBrewer, sadists, scales, testthat, tibble
Published: 2025-08-18
DOI: 10.32614/CRAN.package.superb
Author: Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art, pre]
Maintainer: Denis Cousineau <denis.cousineau at uottawa.ca>
BugReports: https://github.com/dcousin3/superb/issues/
License: GPL-3
URL: https://github.com/dcousin3/superb/, https://CRAN.R-project.org/package=superb, https://dcousin3.github.io/superb/
NeedsCompilation: no
Citation: superb citation info
Materials: README, NEWS
CRAN checks: superb results

Documentation:

Reference manual: superb.html , superb.pdf
Vignettes: Customizing 'superb' plots (source, R code)
The making-of the figures in the article (source, R code)
Three steps to make your plot (source, R code)
Why use difference-adjusted confidence intervals? (source, R code)
Why use correlation-adjusted confidence intervals? (source, R code)
Using a custom statistic with its error bar within “superb“ (source, R code)
Using a custom plot layout within “superb“ (source, R code)
Generating ready-to-analyze datasets with GRD (source, R code)
Unequal variances, Welch test, Tryon adjustment, and “superb“ (source, R code)
(advanced) Alternate ways to decorrelate repeated measures from transformations (source, R code)
Plotting Cohen's d with “superb“ (source, R code)
Plotting Reference Intervals with “superb“ (source, R code)
(advanced) Non-factorial within-subject designs in “superb“ (source, R code)
Plotting proportions with “superb“ (source, R code)
“superb“ and SPSS (source, R code)
Adding labels to “superb“ plots (source, R code)
Plotting frequencies using “superb“ (source, R code)
(advanced) Local decorrelation for time series (source, R code)
Plotting radar plots for illustrating profiles (source, R code)

Downloads:

Package source: superb_1.0.0.tar.gz
Windows binaries: r-devel: superb_1.0.0.zip, r-release: superb_1.0.0.zip, r-oldrel: superb_1.0.0.zip
macOS binaries: r-release (arm64): superb_1.0.0.tgz, r-oldrel (arm64): superb_0.95.19.tgz, r-release (x86_64): superb_1.0.0.tgz, r-oldrel (x86_64): superb_1.0.0.tgz
Old sources: superb archive

Reverse dependencies:

Reverse imports: ANOFA, ANOPA

Linking:

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