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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 uottawa.ca> |
BugReports: | https://github.com/dcousin3/superb/issues/ |
License: | GPL-3 |
URL: | https://dcousin3.github.io/superb/ |
NeedsCompilation: | no |
Citation: | superb citation info |
Materials: | README NEWS |
CRAN checks: | superb results |
Package source: | superb_0.95.9.tar.gz |
Windows binaries: | r-devel: superb_0.95.9.zip, r-release: superb_0.95.9.zip, r-oldrel: superb_0.95.9.zip |
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 imports: | ANOFA, ANOPA |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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