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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