Descriptive Statistics, Inference, Regression, and Plotting in an Introductory Statistics Course

A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.


Reference manual

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0.0.7 by Travis Y. Hee Wai, a year ago

Browse source code at

Authors: Scott S. Emerson [aut] , Andrew J. Spieker [aut] , Brian D. Williamson [aut] , Travis Y. Hee Wai [aut, cre] , Solomon Lim [aut] , R Core Team [ctb] , Terry M Therneu [ctb] , Thomas Lumley [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports Exact, geepack, plyr, survival, sandwich

Suggests knitr, rmarkdown

See at CRAN