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, superbPlot(), return a plot. superbData() returns a dataframe with the statistic and its precision interval so that other plotting package 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.

Version: 0.95.9
Depends: R (≥ 3.5.0)
Imports: foreign, plyr (≥ 1.8.4), ggplot2 (≥ 3.1.0), MASS, lsr (≥ 0.5), methods, Rdpack (≥ 0.7), stats, shiny, shinyBS, stringr, utils
Suggests: dplyr, psych, emojifont, fMultivar, grid, gridExtra, knitr, lattice, lawstat, boot, png, reshape2, rmarkdown, sadists, scales, testthat, tibble
Published: 2024-02-09
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>
License: GPL-3
NeedsCompilation: no
Citation: superb citation info
Materials: README NEWS
CRAN checks: superb results


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


Package source: superb_0.95.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): superb_0.95.9.tgz, r-oldrel (arm64): superb_0.95.9.tgz, r-release (x86_64): superb_0.95.9.tgz, r-oldrel (x86_64): superb_0.95.9.tgz
Old sources: superb archive

Reverse dependencies:

Reverse imports: ANOFA, ANOPA


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