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
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
keepHattrib | Miscellaneous Functions |
Key | Legend Creation Functions |
Key2 | Legend Creation Functions |
km.quick | Miscellaneous Functions |
knitrSet | knitr Setup and plotly Service Function |
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 |
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 |
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 |
Ops.mChoice | Methods for Storing and Analyzing Multiple Choice Variables |
ordTestpo | Summarize Data for Making Tables and Plots |
outerText | Miscellaneous Functions |
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 |
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 |
qcrypt | qcrypt |
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 |
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 |
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.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. |
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 |
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 |
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 |
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 |
yearDays | Get Number of Days in Year or Month |
ynbind | Combine Variables in a Matrix |
%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 |