dataDensityString

aregTran

as.double.Cbind

as.numeric.Cbind

formatSep

as.data.frame.impute

as.data.frame.roundN

as.data.frame.special.miss

as.data.frame.substi

substi

substi.source

[.substi

convertPdate

ddmmmyy

expr.tree

fillin

formatCats

formatCons

formatDateTime

formatTestStats

format.timePOSIXt

ftuss

ftupwr

get2rowHeads

groupn

htmlGreek

htmlSpecial

markupSpecs

importConvertDateTime

is.present

lookupSASContents

makeNames

mask

nafitted.delete

na.include

Names2names

GetModelFrame

naprint.keep

naresid.keep

naprint.delete

naresid.delete

napredict.delete

oPar

optionsCmds

ordGridFun

parGrid

pasteFit

plotpsummaryM

print.substi

print.timePOSIXt

read.xportDataload

readSAScsv

rowsumFast

sas.get.macro

setParNro

StatPlsmo

stepfun.eval

stripChart

termsDrop

testDateTime

uncbind

var.inner

xInch

xySortNoDupNoNA

yInch

zoom

latex.responseSummary

print.responseSummary

responseSummary

combine

combine&lt;-

F_cidxcn

F_cidxcp

F_do_mchoice_match

F_do_nstr

F_hoeffd

F_jacklins

F_largrec

F_maxempr

F_rcorr

F_wclosepw

F_wclosest

internal

Hmisc-internal

Contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, simulation, importing and annotating datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of R objects to LaTeX and html code,
recoding variables, caching, simplified parallel computing, general moving window statistical estimation, and assistance in interpreting principal component analysis.

Hmisc-internal: Internal Hmisc functions

Description

Arguments

Details