| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
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