R: Harrell Miscellaneous

# Harrell Miscellaneous

## Documentation for package ‘Hmisc’ version 5.2-2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A B C D E F G H I J K L M N O P Q R S T U V W X Y misc

## -- A --

abs.error.pred | Indexes of Absolute Prediction Error for Linear Models
addggLayers | addggLayers
addMarginal | Add Marginal Observations
all.digits | Character String Editing and Miscellaneous Character Handling Functions
all.is.numeric | Check if All Elements in Character Vector are Numeric
approxExtrap | Linear Extrapolation
areg | Additive Regression with Optimal Transformations on Both Sides using Canonical Variates
areg.boot | Additive Regression and Transformations using ace or avas
aregImpute | Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
arrGrob | Miscellaneous ggplot2 and grid Helper Functions
as.character.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
as.data.frame.labelled | Label Attribute of an Object
as.discrete | Discrete Vector tools
as.discrete.default | Discrete Vector tools
as.double.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
asNumericMatrix | Summarize Scalars or Matrices by Cross-Classification

## -- B --

ballocation | Power and Sample Size for Two-Sample Binomial Test
bezier | Label Curves, Make Keys, and Interactively Draw Points and Curves
binconf | Confidence Intervals for Binomial Probabilities
biVar | Bivariate Summaries Computed Separately by a Series of Predictors
bootkm | Bootstrap Kaplan-Meier Estimates
bpower | Power and Sample Size for Two-Sample Binomial Test
bpower.sim | Power and Sample Size for Two-Sample Binomial Test
bpplot | Box-percentile plots
bpplotM | Box-Percentile Panel Function for Trellis
bpplt | Box-Percentile Panel Function for Trellis
bppltp | Box-Percentile Panel Function for Trellis
bsamsize | Power and Sample Size for Two-Sample Binomial Test
bystats | Statistics by Categories
bystats2 | Statistics by Categories

## -- C --

capitalize | capitalize the first letter of a string
catTestchisq | Summarize Data for Making Tables and Plots
Cbind | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
ceil | Return the floor, ceiling, or rounded value of date or time to specified unit.
ceil.default | Return the floor, ceiling, or rounded value of date or time to specified unit.
ceil.POSIXt | Return the floor, ceiling, or rounded value of date or time to specified unit.
character.table | Display Colors, Plotting Symbols, and Symbol Numeric Equivalents
chiSquare | Bivariate Summaries Computed Separately by a Series of Predictors
ciapower | Power of Interaction Test for Exponential Survival
cleanup.import | Update a Data Frame or Cleanup a Data Frame after Importing
clowess | Miscellaneous Functions
cnvrt.coords | Convert between the 5 different coordinate sytems on a graphical device
code.levels | Convert a SAS Dataset to an S Data Frame
colorFacet | Miscellaneous ggplot2 and grid Helper Functions
combine.levels | combine.levels
combineLabels | Label Attribute of an Object
combplotp | Combination Plot
completer | completer
confbar | Miscellaneous Functions
consolidate | Element Merging
consolidate.default | Element Merging
consolidate<- | Element Merging
contents | Metadata for a Data Frame
contents.data.frame | Metadata for a Data Frame
contents.list | Metadata for a Data Frame
conTestkw | Summarize Data for Making Tables and Plots
cpower | Power of Cox/log-rank Two-Sample Test
Cs | Character strings from unquoted names
csv.get | Read Comma-Separated Text Data Files
cumcategory | Summarize Data for Making Tables and Plots
curveRep | Representative Curves
curveSmooth | Representative Curves
cut2 | Cut a Numeric Variable into Intervals
cutGn | Cut a Numeric Variable into Intervals

## -- D --

data.frame.create.modify.check | Tips for Creating, Modifying, and Checking Data Frames
data.frame.labelled | Label Attribute of an Object
datadensity | One-Dimensional Scatter Diagram, Spike Histogram, or Density
datadensity.data.frame | One-Dimensional Scatter Diagram, Spike Histogram, or Density
dataframeReduce | Update a Data Frame or Cleanup a Data Frame after Importing
dataRep | Representativeness of Observations in a Data Set
deff | Design Effect and Intra-cluster Correlation
describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
describe.data.frame | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
describe.default | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
describe.formula | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
describe.matrix | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
describe.vector | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
dhistboxp | Use plotly to Draw Stratified Spike Histogram and Box Plot Statistics
discrete | Discrete Vector tools
dotchart2 | Enhanced Dot Chart
dotchart3 | Enhanced Version of dotchart Function
dotchartp | Enhanced Version of dotchart Function
dotchartpl | Enhanced Version of dotchart Function for plotly
Dotplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
drawPlot | Label Curves, Make Keys, and Interactively Draw Points and Curves
dvi | Convert an S object to LaTeX, and Related Utilities
dvi.latex | Convert an S object to LaTeX, and Related Utilities
dvigv | Convert an S object to LaTeX, and Related Utilities
dvigv.dvi | Convert an S object to LaTeX, and Related Utilities
dvigv.latex | Convert an S object to LaTeX, and Related Utilities
dvips | Convert an S object to LaTeX, and Related Utilities
dvips.dvi | Convert an S object to LaTeX, and Related Utilities
dvips.latex | Convert an S object to LaTeX, and Related Utilities

## -- E --

ebpcomp | ebpcomp
Ecdf | Empirical Cumulative Distribution Plot
Ecdf.data.frame | Empirical Cumulative Distribution Plot
Ecdf.default | Empirical Cumulative Distribution Plot
Ecdf.formula | Empirical Cumulative Distribution Plot
ecdfpM | One-Dimensional Scatter Diagram, Spike Histogram, or Density
ecdfSteps | ecdfSteps
equalBins | Multicolumn Formating
errbar | Plot Error Bars
escapeBS | Escapes any characters that would have special meaning in a reqular expression.
escapeRegex | 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

## -- F --

fImport | fImport
find.matches | Find Close Matches
first.word | First Word in a String or Expression
fit.mult.impute | Transformations/Imputations using Canonical Variates
format.df | Format a Data Frame or Matrix for LaTeX or HTML
format.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
format.pval | Format P Values
format.special.miss | Convert a SAS Dataset to an S Data Frame
formatdescribeSingle | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
formula.summary.formula.cross | Summarize Data for Making Tables and Plots
Function | Transformations/Imputations using Canonical Variates
Function.areg.boot | Additive Regression and Transformations using ace or avas
Function.transcan | Transformations/Imputations using Canonical Variates

## -- G --

gbayes | Gaussian Bayesian Posterior and Predictive Distributions
gbayes1PowerNP | Gaussian Bayesian Posterior and Predictive Distributions
gbayes2 | Gaussian Bayesian Posterior and Predictive Distributions
gbayesMixPost | Gaussian Bayesian Posterior and Predictive Distributions
gbayesMixPowerNP | Gaussian Bayesian Posterior and Predictive Distributions
gbayesMixPredNoData | Gaussian Bayesian Posterior and Predictive Distributions
gbayesSeqSim | gbayesSeqSim
getabd | getabd
getHdata | Download and Install Datasets for 'Hmisc', 'rms', and Statistical Modeling
getLatestSource | Miscellaneous Functions
getRs | Interact with github rscripts Project
getZip | Open a Zip File From a URL
ggfreqScatter | Frequency Scatterplot
ggplot.summaryP | Multi-way Summary of Proportions
ggplot.transace | Additive Regression and Transformations using ace or avas
ggplot.transcan | Transformations/Imputations using Canonical Variates
ggplotlyr | ggplotlyr
GiniMd | Gini's Mean Difference
Gompertz2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions
grType | Miscellaneous Functions

## -- H --

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 | Use plotly to Draw Stratified Spike Histogram and Box Plot Statistics
histboxpM | Use plotly to Draw Stratified Spike Histogram and Box Plot Statistics
histSpike | One-Dimensional Scatter Diagram, Spike Histogram, or Density
histSpikeg | One-Dimensional Scatter Diagram, Spike Histogram, or Density
hlab | hlab
hlabs | hlabs
Hmisc.Overview | Overview of Hmisc Library
HmiscOverview | Overview of Hmisc Library
hoeffd | Matrix of Hoeffding's D Statistics
html | Convert an S object to HTML
html.contents.data.frame | Metadata for a Data Frame
html.data.frame | Convert an S object to HTML
html.default | Convert an S object to HTML
html.describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
html.describe.single | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
html.latex | Convert an S object to HTML
html.summaryM | Summarize Mixed Data Types vs. Groups
htmlSN | Convert an S object to LaTeX, and Related Utilities
htmlSpecialType | Miscellaneous Functions
htmltabv | htmltabc
htmlTranslate | Convert an S object to LaTeX, and Related Utilities
htmlVerbatim | Convert an S object to HTML

## -- I --

improveProb | Rank Correlation for Paired Predictors with a Possibly Censored Response, and Integrated Discrimination Index
impute | Generic Functions and Methods for Imputation
impute.default | Generic Functions and Methods for Imputation
impute.transcan | Transformations/Imputations using Canonical Variates
inmChoice | Methods for Storing and Analyzing Multiple Choice Variables
inmChoicelike | Methods for Storing and Analyzing Multiple Choice Variables
intMarkovOrd | intMarkovOrd
inverseFunction | Miscellaneous Functions
invertTabulated | Transformations/Imputations using Canonical Variates
is.discrete | Discrete Vector tools
is.imputed | Generic Functions and Methods for Imputation
is.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
is.na<-.discrete | Discrete Vector tools
is.special.miss | Convert a SAS Dataset to an S Data Frame

## -- J --

james.stein | Miscellaneous Functions
jitter2 | One-Dimensional Scatter Diagram, Spike Histogram, or Density
jitter2.data.frame | One-Dimensional Scatter Diagram, Spike Histogram, or Density
jitter2.default | One-Dimensional Scatter Diagram, Spike Histogram, or Density

## -- K --

keepHattrib | Miscellaneous Functions
Key | Legend Creation Functions
Key2 | Legend Creation Functions
km.quick | Miscellaneous Functions
knitrSet | knitr Setup and plotly Service Function

## -- L --

labcurve | Label Curves, Make Keys, and Interactively Draw Points and Curves
Label | Label Attribute of an Object
label | Label Attribute of an Object
Label.data.frame | Label Attribute of an Object
label.data.frame | Label Attribute of an Object
label.default | Label Attribute of an Object
label.Surv | Label Attribute of an Object
label<- | Label Attribute of an Object
label<-.data.frame | Label Attribute of an Object
label<-.default | Label Attribute of an Object
labelLatex | Label Attribute of an Object
labelPlotmath | Label Attribute of an Object
Lag | Lag a Numeric, Character, or Factor Vector
largest.empty | Label Curves, Make Keys, and Interactively Draw Points and Curves
latestFile | latestFile
latex | Convert an S object to LaTeX, and Related Utilities
latex.bystats | Statistics by Categories
latex.bystats2 | Statistics by Categories
latex.default | Convert an S object to LaTeX, and Related Utilities
latex.describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
latex.describe.single | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
latex.function | Convert an S object to LaTeX, and Related Utilities
latex.list | Convert an S object to LaTeX, and Related Utilities
latex.summary.formula.cross | Summarize Data for Making Tables and Plots
latex.summary.formula.response | Summarize Data for Making Tables and Plots
latex.summary.formula.reverse | Summarize Data for Making Tables and Plots
latex.summaryM | Summarize Mixed Data Types vs. Groups
latex.summaryP | Multi-way Summary of Proportions
latexBuild | Miscellaneous Functions
latexCheckOptions | Check whether the options for latex functions have been specified.
latexDotchart | Enhanced Dot Chart for LaTeX Picture Environment with epic
latexNeedle | Create LaTeX Thermometers and Colored Needles
latexSN | Convert an S object to LaTeX, and Related Utilities
latexTabular | Convert a Data Frame or Matrix to a LaTeX Tabular
latexTherm | Create LaTeX Thermometers and Colored Needles
latexTranslate | Convert an S object to LaTeX, and Related Utilities
latexVerbatim | Convert an S object to LaTeX, and Related Utilities
legendfunctions | Legend Creation Functions
length<-.discrete | Discrete Vector tools
list.tree | Pretty-print the Structure of a Data Object
llist | Label Attribute of an Object
lm.fit.qr.bare | Miscellaneous Functions
Load | Faciliate Use of save and load to Remote Directories
Lognorm2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions
logrank | Simulate Power of 2-Sample Test for Survival under Complex Conditions
lrcum | Miscellaneous Functions for Epidemiology

## -- M --

makeNstr | creates a string that is a repeat of a substring
makeSteps | Miscellaneous Functions
mApply | Apply a Function to Rows of a Matrix or Vector
match.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
matchCases | Find Close Matches
Math.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
matrix2dataFrame | Summarize Scalars or Matrices by Cross-Classification
matxv | Miscellaneous Functions
mbarclPanel | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
mbarclpl | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
mChoice | Methods for Storing and Analyzing Multiple Choice Variables
mdb.get | Read Tables in a Microsoft Access Database
Mean | Additive Regression and Transformations using ace or avas
Mean.areg.boot | Additive Regression and Transformations using ace or avas
medvPanel | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
medvpl | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
meltData | meltData
Merge | Merge Multiple Data Frames or Data Tables
mgp.axis | Draw Axes With Side-Specific mgp Parameters
mgp.axis.labels | Draw Axes With Side-Specific mgp Parameters
mhgr | Miscellaneous Functions for Epidemiology
minor.tick | Minor Tick Marks
monotone | Additive Regression and Transformations using ace or avas
monthDays | Get Number of Days in Year or Month
movStats | movStats
mtitle | Margin Titles
multEventChart | Power and Sample Size for Ordinal Response
multLines | Plot Multiple Lines

## -- N --

na.delete | Row-wise Deletion na.action
na.detail.response | Detailed Response Variable Information
na.keep | Do-nothing na.action
na.pattern | Variable Clustering
na.retain | Summarize Data for Making Tables and Plots
naclus | Variable Clustering
naplot | Variable Clustering
nCoincident | nCoincident
nFm | Interface to Tabular Function
nmChoice | Methods for Storing and Analyzing Multiple Choice Variables
nobsY | Compute Number of Observations for Left Hand Side of Formula
nomiss | Miscellaneous Functions
nstr | Creates a string of arbitry length
num.denom.setup | Weighted Statistical Estimates
num.intercepts | Extract number of intercepts
numeric.string | Character String Editing and Miscellaneous Character Handling Functions
numericScale | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands

## -- O --

Ops.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
ordGroupBoot | Minimally Group an Ordinal Variable So Bootstrap Samples Will Contain All Distinct Values
ordTestpo | Summarize Data for Making Tables and Plots
outerText | Miscellaneous Functions

## -- P --

pairUpDiff | pairUpDiff
panel.bpplot | Box-Percentile Panel Function for Trellis
panel.Dotplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
panel.Ecdf | Empirical Cumulative Distribution Plot
panel.plsmo | Plot smoothed estimates
panel.xYplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
partition | Patitions an object into different sets
partition.matrix | Patitions an object into different sets
partition.vector | Patitions an object into different sets
pBlock | Combine Variables in a Matrix
pc1 | First Principal Component
plot.areg | Additive Regression with Optimal Transformations on Both Sides using Canonical Variates
plot.areg.boot | Additive Regression and Transformations using ace or avas
plot.aregImpute | Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
plot.biVar | Bivariate Summaries Computed Separately by a Series of Predictors
plot.curveRep | Representative Curves
plot.describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
plot.drawPlot | Label Curves, Make Keys, and Interactively Draw Points and Curves
plot.gbayes | Gaussian Bayesian Posterior and Predictive Distributions
plot.princmp | plot.princmp
plot.Quantile2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions
plot.rm.boot | Bootstrap Repeated Measurements Model
plot.summary.formula.response | Summarize Data for Making Tables and Plots
plot.summary.formula.reverse | Summarize Data for Making Tables and Plots
plot.summaryM | Summarize Mixed Data Types vs. Groups
plot.summaryP | Multi-way Summary of Proportions
plot.summaryS | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
plot.transcan | Transformations/Imputations using Canonical Variates
plot.varclus | Variable Clustering
plotCorrM | plotCorrM
plotCorrPrecision | Plot Precision of Estimate of Pearson Correlation Coefficient
plotlyM | plotly Multiple
plotlyParm | Miscellaneous Functions
plotlySave | knitr Setup and plotly Service Function
plotmathTranslate | Label Attribute of an Object
plotMultSim | Variable Clustering
plotp | Miscellaneous Functions
plotp.summaryS | Summarize Multiple Response Variables and Make Multipanel Scatter or Dot Plot
plsmo | Plot smoothed estimates
pMedian | pMedian
pngNeedle | Create LaTeX Thermometers and Colored Needles
pomodm | Power and Sample Size for Ordinal Response
popower | Power and Sample Size for Ordinal Response
posamsize | Power and Sample Size for Ordinal Response
predict.areg | Additive Regression with Optimal Transformations on Both Sides using Canonical Variates
predict.areg.boot | Additive Regression and Transformations using ace or avas
predict.dataRep | Representativeness of Observations in a Data Set
predict.transcan | Transformations/Imputations using Canonical Variates
prepanel.Dotplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
prepanel.Ecdf | Empirical Cumulative Distribution Plot
prepanel.xYplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
princmp | princmp
print.abs.error.pred | Indexes of Absolute Prediction Error for Linear Models
print.areg | Additive Regression with Optimal Transformations on Both Sides using Canonical Variates
print.areg.boot | Additive Regression and Transformations using ace or avas
print.aregImpute | Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
print.arrGrob | Miscellaneous ggplot2 and grid Helper Functions
print.biVar | Bivariate Summaries Computed Separately by a Series of Predictors
print.bystats | Statistics by Categories
print.bystats2 | Statistics by Categories
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.contents.data.frame | Metadata for a Data Frame
print.contents.list | Metadata for a Data Frame
print.curveRep | Representative Curves
print.dataRep | Representativeness of Observations in a Data Set
print.describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
print.describe.single | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
print.dvi | Convert an S object to LaTeX, and Related Utilities
print.find.matches | Find Close Matches
print.hoeffd | Matrix of Hoeffding's D Statistics
print.improveProb | Rank Correlation for Paired Predictors with a Possibly Censored Response, and Integrated Discrimination Index
print.impute | Generic Functions and Methods for Imputation
print.labelled | Label Attribute of an Object
print.latex | Convert an S object to LaTeX, and Related Utilities
print.lrcum | Miscellaneous Functions for Epidemiology
print.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
print.mhgr | Miscellaneous Functions for Epidemiology
print.popower | Power and Sample Size for Ordinal Response
print.posamsize | Power and Sample Size for Ordinal Response
print.predict.dataRep | Representativeness of Observations in a Data Set
print.princmp | print.princmp
print.Quantile2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions
print.rcorr | Matrix of Correlations and P-values
print.redun | Redundancy Analysis
print.special.miss | Convert a SAS Dataset to an S Data Frame
print.spower | Simulate Power of 2-Sample Test for Survival under Complex Conditions
print.summary.areg.boot | Additive Regression and Transformations using ace or avas
print.summary.formula.cross | Summarize Data for Making Tables and Plots
print.summary.formula.response | Summarize Data for Making Tables and Plots
print.summary.formula.reverse | Summarize Data for Making Tables and Plots
print.summary.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
print.summaryM | Summarize Mixed Data Types vs. Groups
print.t.test.cluster | t-test for Clustered Data
print.transace | Additive Regression and Transformations using ace or avas
print.transcan | Transformations/Imputations using Canonical Variates
print.varclus | Variable Clustering
printL | printL
printsummaryM | Summarize Mixed Data Types vs. Groups
prList | Label Attribute of an Object
prn | Print and Object with its Name
propsPO | Power and Sample Size for Ordinal Response
propsTrans | Power and Sample Size for Ordinal Response
prselect | Selectively Print Lines of a Text Vector
prType | Miscellaneous Functions
pstamp | Date/Time/Directory Stamp the Current Plot
putHcap | Label Attribute of an Object
putHfig | Label Attribute of an Object
putKey | Label Curves, Make Keys, and Interactively Draw Points and Curves
putKeyEmpty | Label Curves, Make Keys, and Interactively Draw Points and Curves

## -- Q --

qcrypt | qcrypt
qrxcenter | qrxcenter
Quantile | Additive Regression and Transformations using ace or avas
Quantile.areg.boot | Additive Regression and Transformations using ace or avas
Quantile2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions

## -- R --

r2describe | r2describe
R2Measures | R2Measures
rcorr | Matrix of Correlations and P-values
rcorr.cens | Rank Correlation for Censored Data
rcorrcens | Rank Correlation for Censored Data
rcorrcens.formula | Rank Correlation for Censored Data
rcorrp.cens | 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 | Re-state Restricted Cubic Spline Function
rcsplineFunction | Re-state Restricted Cubic Spline Function
redun | Redundancy Analysis
reformM | Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
reLabelled | Label Attribute of an Object
relevel.labelled | Label Attribute of an Object
rendHTML | Miscellaneous Functions
replace.substring.wild | Character String Editing and Miscellaneous Character Handling Functions
reShape | Reshape Matrices and Serial Data
restoreHattrib | Miscellaneous Functions
rlegend | Special Version of legend for R
rlegendg | Special Version of legend for R
rm.boot | Bootstrap Repeated Measurements Model
rMultinom | Generate Multinomial Random Variables with Varying Probabilities
roundN | Representativeness of Observations in a Data Set
roundPOSIXt | Return the floor, ceiling, or rounded value of date or time to specified unit.
runifChanged | runifChanged
runParallel | runParallel

## -- S --

samplesize.bin | Sample Size for 2-sample Binomial
sas.codes | Convert a SAS Dataset to an S Data Frame
sas.get | Convert a SAS Dataset to an S Data Frame
sasdsLabels | Enhanced Importing of SAS Transport Files using read.xport
sasxport.get | Enhanced Importing of SAS Transport Files using read.xport
Save | Faciliate Use of save and load to Remote Directories
scat1d | One-Dimensional Scatter Diagram, Spike Histogram, or Density
score.binary | Score a Series of Binary Variables
sedit | Character String Editing and Miscellaneous Character Handling Functions
sepUnitsTrans | Miscellaneous Functions
seqFreq | seqFreq
setTrellis | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
show.col | Display Colors, Plotting Symbols, and Symbol Numeric Equivalents
show.dvi | Convert an S object to LaTeX, and Related Utilities
show.latex | Convert an S object to LaTeX, and Related Utilities
show.pch | Display Colors, Plotting Symbols, and Symbol Numeric Equivalents
showPsfrag | Display image from psfrag LaTeX strings
simMarkovOrd | simMarkovOrd
simplifyDims | List Simplification
simPOcuts | Power and Sample Size for Ordinal Response
simRegOrd | Simulate Power for Adjusted Ordinal Regression Two-Sample Test
sKey | Legend Creation Functions
smean.cl.boot | Compute Summary Statistics on a Vector
smean.cl.normal | Compute Summary Statistics on a Vector
smean.sd | Compute Summary Statistics on a Vector
smean.sdl | Compute Summary Statistics on a Vector
smearingEst | Additive Regression and Transformations using ace or avas
smedian.hilow | Compute Summary Statistics on a Vector
solvet | solve Function with tol argument
somers2 | Somers' Dxy Rank Correlation
soprobMarkovOrd | soprobMarkovOrd
soprobMarkovOrdm | soprobMarkovOrdm
spearman | Bivariate Summaries Computed Separately by a Series of Predictors
spearman.test | Bivariate Summaries Computed Separately by a Series of Predictors
spearman2 | Bivariate Summaries Computed Separately by a Series of Predictors
spearman2.default | Bivariate Summaries Computed Separately by a Series of Predictors
spearman2.formula | Bivariate Summaries Computed Separately by a Series of Predictors
spikecomp | spikecomp
spower | 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
stata.get | Enhanced Importing of STATA Files
stat_plsmo | Add a lowess smoother without counfidence bands.
stratify | Summarize Data for Making Tables and Plots
strgraphwrap | Miscellaneous Functions
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
substring.location | Character String Editing and Miscellaneous Character Handling Functions
substring2 | Character String Editing and Miscellaneous Character Handling Functions
substring2<- | Character String Editing and Miscellaneous Character Handling Functions
summarize | Summarize Scalars or Matrices by Cross-Classification
summary.areg.boot | Additive Regression and Transformations using ace or avas
summary.find.matches | Find Close Matches
summary.formula | Summarize Data for Making Tables and Plots
summary.impute | Generic Functions and Methods for Imputation
Summary.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
summary.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
summary.transcan | Transformations/Imputations using Canonical Variates
summaryD | Enhanced Version of dotchart Function
summaryDp | Enhanced Version of dotchart Function
summaryM | Summarize Mixed Data Types vs. Groups
summaryP | Multi-way Summary of Proportions
summaryRc | Graphical Summarization of Continuous Variables Against a Response
summaryS | 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 --

t.test.cluster | t-test for Clustered Data
table_formatpct | Interface to Tabular Function
table_freq | Interface to Tabular Function
table_latexdefs | Interface to Tabular Function
table_N | Interface to Tabular Function
table_pc | Interface to Tabular Function
table_trio | Interface to Tabular Function
tabulr | Interface to Tabular Function
testCharDateTime | testCharDateTime
tex | function for use in graphs that are used with the psfrag package in LaTeX
timePOSIXt | Convert a SAS Dataset to an S Data Frame
tobase64image | Miscellaneous Functions
transace | Additive Regression and Transformations using ace or avas
transcan | Transformations/Imputations using Canonical Variates
translate | Translate Vector or Matrix of Text Strings
trap.rule | Miscellaneous Functions
trellis.strip.blank | Miscellaneous Functions
truncPOSIXt | Return the floor, ceiling, or rounded value of date or time to specified unit.

## -- U --

units | Units Attribute of a Vector
units.default | Units Attribute of a Vector
units.Surv | Units Attribute of a Vector
units<-.default | Units Attribute of a Vector
unPaste | Miscellaneous Functions
upData | Update a Data Frame or Cleanup a Data Frame after Importing
upFirst | Change First Letters to Upper Case

## -- V --

valueLabel | Store Descriptive Information About an Object
valueLabel<- | Store Descriptive Information About an Object
valueName | Store Descriptive Information About an Object
valueName<- | Store Descriptive Information About an Object
valueTags | Store Descriptive Information About an Object
valueTags<- | Store Descriptive Information About an Object
valueUnit | Store Descriptive Information About an Object
valueUnit<- | Store Descriptive Information About an Object
varclus | Variable Clustering
vcov.default | Transformations/Imputations using Canonical Variates
vcov.fit.mult.impute | Transformations/Imputations using Canonical Variates
vlab | vlab

## -- W --

Weibull2 | Simulate Power of 2-Sample Test for Survival under Complex Conditions
whichClosek | Miscellaneous Functions
whichClosePW | Miscellaneous Functions
whichClosest | Miscellaneous Functions
wtd.Ecdf | Weighted Statistical Estimates
wtd.loess.noiter | Weighted Statistical Estimates
wtd.mean | Weighted Statistical Estimates
wtd.quantile | Weighted Statistical Estimates
wtd.rank | Weighted Statistical Estimates
wtd.table | Weighted Statistical Estimates
wtd.var | Weighted Statistical Estimates

## -- X --

xless | Miscellaneous Functions
xtfrm.labelled | Auxiliary Function Method for Sorting and Ranking
xy.group | Mean x vs. function of y in groups of x
xYplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands

## -- Y --

yearDays | Get Number of Days in Year or Month
ynbind | Combine Variables in a Matrix

## -- misc --

%nin% | Find Matching (or Non-Matching) Elements
.q | Character strings from unquoted names
[.Cbind | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
[.describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
[.discrete | Discrete Vector tools
[.impute | Generic Functions and Methods for Imputation
[.labelled | Label Attribute of an Object
[.mChoice | Methods for Storing and Analyzing Multiple Choice Variables
[.pBlock | Combine Variables in a Matrix
[.roundN | Representativeness of Observations in a Data Set
[.special.miss | Convert a SAS Dataset to an S Data Frame
[.summary.formula.response | Summarize Data for Making Tables and Plots
[.transcan | Transformations/Imputations using Canonical Variates
[.ynbind | Combine Variables in a Matrix
[<-.discrete | Discrete Vector tools
[[.discrete | Discrete Vector tools