Package index • Hmisc

All functions
`Cs()` `.q()`	Character strings from unquoted names
`Ecdf()`	Empirical Cumulative Distribution Plot
`Fdebug()`	Debug Printing Function Generator
`GiniMd()`	Gini's Mean Difference
`Lag()`	Lag a Numeric, Character, or Factor Vector
`Merge()`	Merge Multiple Data Frames or Data Tables
`confbar()` `getLatestSource()` `grType()` `prType()` `htmlSpecialType()` `inverseFunction()` `james.stein()` `keepHattrib()` `km.quick()` `latexBuild()` `lm.fit.qr.bare()` `matxv()` `nomiss()` `outerText()` `plotlyParm` `plotp()` `rendHTML()` `restoreHattrib()` `sepUnitsTrans()` `strgraphwrap()` `tobase64image()` `trap.rule()` `trellis.strip.blank()` `unPaste()` `whichClosest()` `whichClosePW()` `whichClosek()` `xless()`	Miscellaneous Functions
`HmiscOverview` `Hmisc.Overview`	Overview of Hmisc Library
`R2Measures()`	R2Measures
`Save()` `Load()`	Faciliate Use of save and load to Remote Directories
`abs.error.pred()` `print(<abs.error.pred>)`	Indexes of Absolute Prediction Error for Linear Models
`addMarginal()`	Add Marginal Observations
`addggLayers()`	addggLayers
`all.is.numeric()`	Check if All Elements in Character Vector are Numeric
`approxExtrap()`	Linear Extrapolation
`areg()` `print(<areg>)` `plot(<areg>)` `predict(<areg>)`	Additive Regression with Optimal Transformations on Both Sides using Canonical Variates
`aregImpute()` `print(<aregImpute>)` `plot(<aregImpute>)` `reformM()`	Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
`biVar()` `print(<biVar>)` `plot(<biVar>)` `spearman2()` `spearman()` `spearman.test()` `chiSquare()`	Bivariate Summaries Computed Separately by a Series of Predictors
`binconf()`	Confidence Intervals for Binomial Probabilities
`bootkm()`	Bootstrap Kaplan-Meier Estimates
`bpower()` `bsamsize()` `ballocation()` `bpower.sim()`	Power and Sample Size for Two-Sample Binomial Test
`bpplot()`	Box-percentile plots
`bystats()` `print(<bystats>)` `latex(<bystats>)` `bystats2()` `print(<bystats2>)` `latex(<bystats2>)`	Statistics by Categories
`capitalize()`	capitalize the first letter of a string
`ciapower()`	Power of Interaction Test for Exponential Survival
`cnvrt.coords()`	Convert between the 5 different coordinate sytems on a graphical device
`combine.levels()`	combine.levels
`combplotp()`	Combination Plot
`completer()`	completer
`consolidate()` `consolidate<-`()	Element Merging
`contents()` `print(<contents.data.frame>)` `html(<contents.data.frame>)` `print(<contents.list>)`	Metadata for a Data Frame
`cpower()`	Power of Cox/log-rank Two-Sample Test
`csv.get()`	Read Comma-Separated Text Data Files
`curveRep()` `print(<curveRep>)` `plot(<curveRep>)` `curveSmooth()`	Representative Curves
`cut2()` `cutGn()`	Cut a Numeric Variable into Intervals
`data.frame.create.modify.check`	Tips for Creating, Modifying, and Checking Data Frames
`dataRep()` `roundN()` `print(<dataRep>)` `predict(<dataRep>)` `print(<predict.dataRep>)`	Representativeness of Observations in a Data Set
`deff()`	Design Effect and Intra-cluster Correlation
`describe(<vector>)` `describe(<matrix>)` `describe(<data.frame>)` `describe(<formula>)` `print(<describe>)` `latex(<describe>)` `latex(<describe.single>)` `html(<describe>)` `html(<describe.single>)` `formatdescribeSingle()` `plot(<describe>)`	Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
`as.discrete()` `discrete()` `[<-`(<discrete>) `[`(<discrete>) `[[`(<discrete>) `is.discrete()` `is.na<-`(<discrete>) `length<-`(<discrete>)	Discrete Vector tools
`dotchart2()`	Enhanced Dot Chart
`dotchart3()` `dotchartp()` `summaryD()` `summaryDp()`	Enhanced Version of dotchart Function
`dotchartpl()`	Enhanced Version of dotchart Function for plotly
`ebpcomp()`	ebpcomp
`ecdfSteps()`	ecdfSteps
`mhgr()` `print(<mhgr>)` `lrcum()` `print(<lrcum>)`	Miscellaneous Functions for Epidemiology
`equalBins()`	Multicolumn Formating
`errbar()`	Plot Error Bars
`escapeRegex()` `escapeBS()`	Escapes any characters that would have special meaning in a reqular expression.
`estSeqMarkovOrd()`	estSeqMarkovOrd
`estSeqSim()`	estSeqSim
`event.chart()`	Flexible Event Chart for Time-to-Event Data
`event.convert()`	Event Conversion for Time-to-Event Data
`event.history()`	Produces event.history graph for survival data
`extractlabs()`	extractlabs
`fImport()`	fImport
`find.matches()` `summary(<find.matches>)` `print(<find.matches>)` `matchCases()`	Find Close Matches
`first.word()`	First Word in a String or Expression
`format.df()`	Format a Data Frame or Matrix for LaTeX or HTML
`format.pval()`	Format P Values
`gbayes()` `plot(<gbayes>)` `gbayes2()` `gbayesMixPredNoData()` `gbayesMixPost()` `gbayesMixPowerNP()` `gbayes1PowerNP()`	Gaussian Bayesian Posterior and Predictive Distributions
`gbayesSeqSim()`	gbayesSeqSim
`geom_stepconfint()`	Step function confidence intervals for ggplot2
`getHdata()`	Download and Install Datasets for Hmisc, rms, and Statistical Modeling
`getRs()`	Interact with github rscripts Project
`getZip()`	Open a Zip File From a URL
`getabd()`	getabd
`colorFacet()` `arrGrob()` `print(<arrGrob>)`	Miscellaneous ggplot2 and grid Helper Functions
`ggfreqScatter()`	Frequency Scatterplot
`ggplotlyr()`	ggplotlyr
`hashCheck()`	hashCheck
`hdquantile()`	Harrell-Davis Distribution-Free Quantile Estimator
`hidingTOC()`	Moving and Hiding Table of Contents
`hist(<data.frame>)`	Histograms for Variables in a Data Frame
`histbackback()`	Back to Back Histograms
`histboxp()` `dhistboxp()` `histboxpM()`	Use plotly to Draw Stratified Spike Histogram and Box Plot Statistics
`hlab()`	hlab
`hlabs()`	hlabs
`hoeffd()` `print(<hoeffd>)`	Matrix of Hoeffding's D Statistics
`html()` `htmlVerbatim()`	Convert an S object to HTML
`htmltabv()`	htmltabc
`impute()` `print(<impute>)` `summary(<impute>)` `is.imputed()`	Generic Functions and Methods for Imputation
`intMarkovOrd()`	intMarkovOrd
`knitrSet()` `plotlySave()`	knitr Setup and plotly Service Function
`labcurve()` `putKey()` `putKeyEmpty()` `drawPlot()` `plot(<drawPlot>)` `largest.empty()`	Label Curves, Make Keys, and Interactively Draw Points and Curves
`label()` `label<-`() `labelPlotmath()` `labelLatex()` `print(<labelled>)` `Label()` `llist()` `prList()` `putHfig()` `putHcap()` `plotmathTranslate()` `data.frame.labelled()` `relevel(<labelled>)` `reLabelled()` `combineLabels()`	Label Attribute of an Object
`latestFile()`	latestFile
`latex` `latex.default` `latex.function` `latex.list` `latexTranslate` `htmlTranslate` `latexSN` `htmlSN` `latexVerbatim` `dvi` `print.dvi` `dvi.latex` `dvips` `dvips.latex` `dvips.dvi` `dvigv` `dvigv.latex` `dvigv.dvi` `print.latex` `show.latex` `show.dvi`	Convert an S object to LaTeX, and Related Utilities
`latexCheckOptions()`	Check whether the options for latex functions have been specified.
`latexDotchart()`	Enhanced Dot Chart for LaTeX Picture Environment with epic
`latexTabular()`	Convert a Data Frame or Matrix to a LaTeX Tabular
`latexTherm()` `latexNeedle()` `pngNeedle()`	Create LaTeX Thermometers and Colored Needles
`Key()` `Key2()` `sKey()`	Legend Creation Functions
`list.tree()`	Pretty-print the Structure of a Data Object
`mApply()`	Apply a Function to Rows of a Matrix or Vector
`mChoice()` `format(<mChoice>)` `as.double(<mChoice>)` `print(<mChoice>)` `as.character(<mChoice>)` `summary(<mChoice>)` `print(<summary.mChoice>)` `[`(<mChoice>) `match.mChoice()` `inmChoice()` `inmChoicelike()` `nmChoice()` `is.mChoice()` `Summary(<mChoice>)`	Methods for Storing and Analyzing Multiple Choice Variables
`makeNstr()`	creates a string that is a repeat of a substring
`mdb.get()`	Read Tables in a Microsoft Access Database
`meltData()`	meltData
`mgp.axis()` `mgp.axis.labels()`	Draw Axes With Side-Specific mgp Parameters
`minor.tick()`	Minor Tick Marks
`movStats()`	movStats
`mtitle()`	Margin Titles
`multLines()`	Plot Multiple Lines
`nCoincident()`	nCoincident
`na.delete()`	Row-wise Deletion na.action
`na.detail.response()`	Detailed Response Variable Information
`na.keep()`	Do-nothing na.action
`%nin%`	Find Matching (or Non-Matching) Elements
`nobsY()`	Compute Number of Observations for Left Hand Side of Formula
`nstr()`	Creates a string of arbitry length
`num.intercepts()`	Extract number of intercepts
`ordGroupBoot()`	Minimally Group an Ordinal Variable So Bootstrap Samples Will Contain All Distinct Values
`pMedian()`	pMedian
`pairUpDiff()`	pairUpDiff
`panel.bpplot()` `bpplt()` `bppltp()` `bpplotM()`	Box-Percentile Panel Function for Trellis
`partition.vector()` `partition.matrix()`	Patitions an object into different sets
`pc1()`	First Principal Component
`plot(<princmp>)`	plot.princmp
`plotCorrM()`	plotCorrM
`plotCorrPrecision()`	Plot Precision of Estimate of Pearson Correlation Coefficient
`plotlyM()`	plotly Multiple
`plsmo()`	Plot smoothed estimates
`popower()` `print(<popower>)` `posamsize()` `print(<posamsize>)` `pomodm()` `simPOcuts()` `propsPO()` `propsTrans()` `multEventChart()`	Power and Sample Size for Ordinal Response
`princmp()`	princmp
`print(<char.list>)`	prints a list of lists in a visually readable format.
`print(<char.matrix>)`	Function to print a matrix with stacked cells
`print(<princmp>)`	print.princmp
`printL()`	printL
`prn()`	Print and Object with its Name
`prselect()`	Selectively Print Lines of a Text Vector
`pstamp()`	Date/Time/Directory Stamp the Current Plot
`qcrypt()`	qcrypt
`qrxcenter()`	qrxcenter
`r2describe()`	r2describe
`rMultinom()`	Generate Multinomial Random Variables with Varying Probabilities
`rcorr()` `print(<rcorr>)`	Matrix of Correlations and P-values
`rcorr.cens()` `rcorrcens(<formula>)`	Rank Correlation for Censored Data
`rcorrp.cens()` `improveProb()` `print(<improveProb>)`	Rank Correlation for Paired Predictors with a Possibly Censored Response, and Integrated Discrimination Index
`rcspline.eval()`	Restricted Cubic Spline Design Matrix
`rcspline.plot()`	Plot Restricted Cubic Spline Function
`rcspline.restate()` `rcsplineFunction()`	Re-state Restricted Cubic Spline Function
`reShape()`	Reshape Matrices and Serial Data
`redun()` `print(<redun>)`	Redundancy Analysis
`rlegend()` `rlegendg()`	Special Version of legend for R
`rm.boot()` `plot(<rm.boot>)`	Bootstrap Repeated Measurements Model
`rmClose()`	rmClose
`runParallel()`	runParallel
`runifChanged()`	runifChanged
`samplesize.bin()`	Sample Size for 2-sample Binomial
`sasxport.get()` `sasdsLabels()`	Enhanced Importing of SAS Transport Files using read.xport
`scat1d()` `jitter2()` `datadensity()` `histSpike()` `histSpikeg()` `ecdfpM()`	One-Dimensional Scatter Diagram, Spike Histogram, or Density
`score.binary()`	Score a Series of Binary Variables
`sedit()` `substring.location()` `replace.substring.wild()` `numeric.string()` `all.digits()` `substring2()` `substring2<-`()	Character String Editing and Miscellaneous Character Handling Functions
`seqFreq()`	seqFreq
`show.pch()` `show.col()` `character.table()`	Display Colors, Plotting Symbols, and Symbol Numeric Equivalents
`showPsfrag()`	Display image from psfrag LaTeX strings
`simMarkovOrd()`	simMarkovOrd
`simRegOrd()`	Simulate Power for Adjusted Ordinal Regression Two-Sample Test
`simplifyDims()`	List Simplification
`smean.cl.normal()` `smean.sd()` `smean.sdl()` `smean.cl.boot()` `smedian.hilow()`	Compute Summary Statistics on a Vector
`solvet()`	solve Function with tol argument
`somers2()`	Somers' Dxy Rank Correlation
`soprobMarkovOrd()`	soprobMarkovOrd
`soprobMarkovOrdm()`	soprobMarkovOrdm
`spikecomp()`	spikecomp
`spower()` `print(<spower>)` `Quantile2()` `print(<Quantile2>)` `plot(<Quantile2>)` `logrank()` `Gompertz2()` `Lognorm2()` `Weibull2()`	Simulate Power of 2-Sample Test for Survival under Complex Conditions
`spss.get()`	Enhanced Importing of SPSS Files
`src()`	Source a File from the Current Working Directory
`stat_plsmo()`	Add a lowess smoother without counfidence bands.
`stata.get()`	Enhanced Importing of STATA Files
`string.bounding.box()`	Determine Dimensions of Strings
`string.break.line()`	Break a String into Many Lines at Newlines
`stringDims()`	String Dimentions
`subplot()`	Embed a new plot within an existing plot
`summarize()` `asNumericMatrix()` `matrix2dataFrame()`	Summarize Scalars or Matrices by Cross-Classification
`summary(<formula>)` `[`(<summary.formula.response>) `print(<summary.formula.response>)` `plot(<summary.formula.response>)` `latex(<summary.formula.response>)` `print(<summary.formula.reverse>)` `plot(<summary.formula.reverse>)` `latex(<summary.formula.reverse>)` `print(<summary.formula.cross>)` `latex(<summary.formula.cross>)` `stratify()` `formula(<summary.formula.cross>)` `cumcategory()` `conTestkw()` `catTestchisq()` `ordTestpo()`	Summarize Data for Making Tables and Plots
`summaryM()` `print(<summaryM>)` `printsummaryM()` `plot(<summaryM>)` `latex(<summaryM>)` `html(<summaryM>)`	Summarize Mixed Data Types vs. Groups
`summaryP()` `plot(<summaryP>)` `ggplot(<summaryP>)` `latex(<summaryP>)`	Multi-way Summary of Proportions
`summaryRc()`	Graphical Summarization of Continuous Variables Against a Response
`summaryS()` `plot(<summaryS>)` `plotp(<summaryS>)` `mbarclPanel()` `medvPanel()` `mbarclpl()` `medvpl()`	Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
`symbol.freq()`	Graphic Representation of a Frequency Table
`sys()`	Run Unix or Dos Depending on System
`t.test.cluster()` `print(<t.test.cluster>)`	t-test for Clustered Data
`tabulr()` `table_trio()` `table_freq()` `table_formatpct()` `nFm()` `table_latexdefs()`	Interface to Tabular Function
`testCharDateTime()`	testCharDateTime
`tex()`	function for use in graphs that are used with the psfrag package in LaTeX
`transace()` `print(<transace>)` `ggplot(<transace>)` `areg.boot()` `print(<areg.boot>)` `plot(<areg.boot>)` `smearingEst()` `summary(<areg.boot>)` `print(<summary.areg.boot>)` `predict(<areg.boot>)` `Function(<areg.boot>)` `Mean()` `Quantile()`	Additive Regression and Transformations using ace or avas
`transcan()` `summary(<transcan>)` `print(<transcan>)` `plot(<transcan>)` `ggplot(<transcan>)` `impute(<transcan>)` `fit.mult.impute()` `predict(<transcan>)` `Function()` `invertTabulated()` `vcov(<default>)` `vcov(<fit.mult.impute>)`	Transformations/Imputations using Canonical Variates
`translate()`	Translate Vector or Matrix of Text Strings
`ceil()` `truncPOSIXt()` `roundPOSIXt()`	Return the floor, ceiling, or rounded value of date or time to specified unit.
`units()` `units<-`(<default>)	Units Attribute of a Vector
`cleanup.import()` `upData()` `dataframeReduce()`	Update a Data Frame or Cleanup a Data Frame after Importing
`upFirst()`	Change First Letters to Upper Case
`valueTags()` `valueTags<-`() `valueLabel()` `valueLabel<-`() `valueName()` `valueName<-`() `valueUnit()` `valueUnit<-`()	Store Descriptive Information About an Object
`varclus()` `print(<varclus>)` `plot(<varclus>)` `naclus()` `naplot()` `plotMultSim()` `na.pattern()`	Variable Clustering
`vlab()`	vlab
`wtd.mean()` `wtd.var()` `wtd.quantile()` `wtd.Ecdf()` `wtd.table()` `wtd.rank()` `wtd.loess.noiter()` `num.denom.setup()`	Weighted Statistical Estimates
`Cbind()` `xYplot()` `panel.xYplot()` `prepanel.xYplot()` `Dotplot()` `prepanel.Dotplot()` `panel.Dotplot()` `setTrellis()` `numericScale()`	xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
`xtfrm(<labelled>)`	Auxiliary Function Method for Sorting and Ranking
`xy.group()`	Mean x vs. function of y in groups of x
`yearDays()` `monthDays()`	Get Number of Days in Year or Month
`ynbind()` `pBlock()`	Combine Variables in a Matrix

Reference

All functions