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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:1.0.1
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,boot,png,rmarkdown,rstatix,RColorBrewer,sadists,scales,testthat,tibble
Published:2025-12-04
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_1.0.1.tar.gz
Windows binaries: r-devel:superb_1.0.1.zip, r-release:superb_1.0.1.zip, r-oldrel:superb_1.0.1.zip
macOS binaries: r-release (arm64):superb_1.0.1.tgz, r-oldrel (arm64):superb_1.0.1.tgz, r-release (x86_64):superb_1.0.1.tgz, r-oldrel (x86_64):superb_1.0.1.tgz
Old sources: superb archive

Reverse dependencies:

Reverse imports:ANOFA,ANOPA

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=superbto link to this page.

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