---+ Statistical Computing * %N% [[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510][Good enough practices in scientific computing]] * [[UseR-2012][useR! 2012]] Vanderbilt University, Nashville, June 2012 * [[RS][R and S-Plus software and documentation]] * Paul Murrell's online book [[http://www.stat.auckland.ac.nz/~paul/ItDT Introduction to Data Technologies]] * [[BayesianDataAnalysisWithOpenBUGSAndBRugs][Bayesian computing]] * [[http://biostat.mc.vanderbilt.edu/cgi-bin/viewvc.cgi Online Subversion repository]] for our open-source software projects * [[SasMacros][Unsupported SAS macros]] * [[StatCompCourse][Statistical computing course]] * [[StatGraphCourse][Statistical graphics course]] * [[StatReport][Reproducible research, statistical reporting, linking S output with report documents, literate programming, managing analyses, and documenting programs and data]] * General information about [[DocProcess][LaTeX and other document processing tools]] * General information about [[EmacsInfo][Emacs and Xemacs]] * [[EmacsLaTeXTools][Emacs/LaTeX/Linux/UNIX tools information for Windows users]] * [[WindowsUtilities][Windows Utility Programs]] * [[ExcelProblems][Severe Problems with Excel for Statistical Calculations]] * [[StatCalc][Statistical Calculators]] * [[Programming Tips For Statisticians]] * An [[RedcapApiExportR][R function]] to interface with the redcap API for data exports ------ ---+++ Links to other sites * [[http://brain.cs.unr.edu/publications/NevProp.zip Phil Goodman's Nevprop software for artificial neural networks with bootstrap validation]] * [[http://www.r-project.org R home page]] * [[http://lib.stat.cmu.edu Statlib]] * [[http://www.stats.ox.ac.uk/~ripley Brian Ripley's home page]] * [[http://www.mrc-bsu.cam.ac.uk/bugs/welcome.shtml BUGS (Bayesian analysis using gibbs sampling)]] | [[http://mathstat.helsinki.fi/openbugs OpenBUGS]] * [[http://www.bath.ac.uk/~masdd/ David Draper's home page]] * [[http://www.math.yorku.ca/SCS/friendly.html Michael Friendly's home page]] * [[http://www.stat.sc.edu/rsrch/gasp Globally accessible statistical procedures]] * [[http://www.csdassn.org Computational Statistics and Data Analysis]] * [[RmS][Regression Modeling Strategies home page]]
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