You are here: Vanderbilt Biostatistics Wiki>Main Web>StatComp>RS>Hmisc>HmiscMultivar (14 Dec 2005, FrankHarrell)EditAttach

Hmisc Functions Related to Multivariate Analysis

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

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

Main

Department Home Page

Biostatistics Graduate Program

Vanderbilt University Medical Center

Biostatistics Webs
- Archive
- Main
- Sandbox
- System

Copyright © 2013-2022 by the contributing authors. All material on this collaboration platform is the property of the contributing authors.
Ideas, requests, problems regarding Vanderbilt Biostatistics Wiki? Send feedback