Hmisc Functions Related to Multivariate Analysis

FunctionSorted ascending Purpose
aregImpute Multiple imputation using generalized additive models
dataRep Representativeness of observations in a data set
find.matches Find close matches
pc1 Compute and show coefficients (on original scale) first principal component
rm.boot Bootstrap repeated measurements with approximate simultaneous confidence bands for profiles
mApply Summarize scalars or matrices by cross-classification
summarize Summarize scalars or matrices by cross-classification
summary.formula Descriptive statistics, including multiple-number summaries of multiple variables
transace Additive regression and transformation of a matrix of variables
transcan Nonlinear principal components using canonical variates, data reduction, and single imputation
varclus Clustering of variables

Click on a function name to see the function's help file. Note that mApply, summarize, and summary.formula can compute multivariate summary statistics on univariate and multivariate data.
Topic revision: r2 - 14 Dec 2005, FrankHarrell
 

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