Get Precision of Means Under Various Designs and Sampling Schemes

Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), can either return a plot or a dataframe with the statistic and its precision interval so that other plotting package can be used. See Cousineau (2017) for a review or Cousineau (2005) , Morey (2008) , Baguley (2012) , Cousineau & Laurencelle (2016) , Cousineau & O'Brien (2014) .


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install.packages("superb")

0.9.4.2 by Denis Cousineau, a month ago


Browse source code at https://github.com/cran/superb


Authors: Denis Cousineau [aut, cre] , Bradley Harding [ctb] , Marc-André Goulet [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports plyr, ggplot2, lsr, Rdpack, stats, ggsci, MASS, matrixcalc

Suggests grid, gridExtra, knitr, rmarkdown, car, fMultivar, lattice, lawstat, reshape2, testthat, schoRsch, emojifont, sadists


See at CRAN