R Packages, Functions, and Documentation

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• R configuration
• Revolution Analytics: free and premium software for statistical computing and analytics in the R language
• The Hmisc package
• The rms package for R
• The Design package
• The greport package
• The rreport package
• The Hmisc, Design, and rreport bug submission page
• Overall usage instructions for using the R Hmisc and Design packages
• How to obtain new versions of R functions between releases of packages
• Datasets for use in learning how to use Hmisc, Design, logistic regression, survival analysis, ordinary regression, penalized estimation, missing value imputation, data reduction, etc.
• An Introduction to S and the Hmisc and Design Libraries by CF Alzola and FE Harrell (PDF). For a list of recent changes to this document click here
• Block randomization example
• R for SAS & SPSS Users by Robert Muenchen
• Statistical Reporting, Linking S Output with Report Documents, Literate Programming, Managing Analyses, and Documenting Programs and Data
• Sources for S functions for multivariate analysis and survival analysis available from other users
• S hints and tricks: Archive from S-news | Graphics | Data Manipulation and Stratification
• Functions from S-news and other sources
• Examples of miscellaneous S functions: General
• S software for multiple imputation from Joseph Schafer at Penn State. Click here for Joe's useful Multiple Imputation FAQ page.
• Multiple imputation information and S functions from Stef van Buuren and Karin Oudshoor
• Other S software useful for data reduction, imputation, censored data, recursive partitioning
• Tricks for using the S-Plus Graphical User Interface to Produce Graphics, Pam Goodman, MathSoft DAPD, 9 October 1998; 19 pages, color, PDF
• Free books for learning the R language, which is similar to S-Plus
• R documentation and function search engine by Jonathan Baron
• R Tips compiled by Paul Johnson (a set of organized examples)
• S teaching texts compiled by Eusebio Arenal at slist@eio.uva.es
• Teaching material related to statistical computing
• Teaching material related to statistical graphics
• Custom VIM scripts for R
• Updating and Maintaining a Debian/Ubuntu R distribution
• BootstrapProportionalHazards: Computes valid confidence intervals by bootstrapping the process of checking the proportional hazards assumption
• R software related to clinical trials
• R Cook Book page

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Other Links

• Web interface for r-help
• Statlib
• Brian Ripley's Home Page
• S functions for epidemiologic analyses by Norman Breslow and colleagues
• Epidemiology Tools using R, by Tomás Aragón
• Patrick Burns' bootstrap and resampling page
• R Graph Gallery
• R Graphics Gallery
• Hadley Wickham's ggplot2 graphics package
• Examples containing side-by-side comparisons of ggplot2 and lattice graphics in R
• Regression Modeling Strategies home page
• http://www.decisionsciencenews.com/?p=261 Video introducing R

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