| 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 |
| 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 |
| dotchart2 |
Enhanced Dot Chart |
| Dotplot |
xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands |
| drawPlot |
Label Curves, Make Keys, and Interactively Draw Points and Curves |
| dropUnusedLevels |
Create Temporary Factor Subsetting Function |
| dvi |
Convert an S object to LaTeX, and Related Utilities |
| dvigv |
Convert an S object to LaTeX, and Related Utilities |
| dvips |
Convert an S object to LaTeX, and Related Utilities |
| 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 |
| 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 |
| 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.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 |
| latexSN |
Convert an S object to LaTeX, and Related Utilities |
| latexTranslate |
Convert an S object to LaTeX, and Related Utilities |
| latexVerbatim |
Convert an S object to LaTeX, and Related Utilities |
| ldBands |
Group Sequential Boundaries using the Lan-DeMets Approach |
| 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 |
| 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 |
| pc1 |
First Principal Component |
| plot.areg.boot |
Additive Regression and Transformations using ace or avas |
| plot.aregImpute |
Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching |
| plot.drawPlot |
Label Curves, Make Keys, and Interactively Draw Points and Curves |
| plot.gbayes |
Gaussian Bayesian Posterior and Predictive Distributions |
| plot.ldBands |
Group Sequential Boundaries using the Lan-DeMets Approach |
| plot.Quantile2 |
Simulate Power of 2-Sample Test for Survival under Complex Conditions |
| plot.rm.boot |
Bootstrap Repeated Measurements Model |
| plot.spearman2.formula |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| plot.summary.formula.response |
Summarize Data for Making Tables and Plots |
| plot.summary.formula.reverse |
Summarize Data for Making Tables and Plots |
| plot.transcan |
Transformations/Imputations using Canonical Variates |
| plot.varclus |
Variable Clustering |
| plotCorrPrecision |
Plot Precision of Estimate of Pearson Correlation Coefficient |
| plotmathTranslate |
Label Attribute of an Object |
| plotMultSim |
Variable Clustering |
| plsmo |
Plot smoothed estimates |
| popower |
Power and Sample Size for Ordinal Response |
| posamsize |
Power and Sample Size for Ordinal Response |
| 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 |
| print.abs.error.pred |
Indexes of Absolute Prediction Error for Linear Models |
| print.areg.boot |
Additive Regression and Transformations using ace or avas |
| print.aregImpute |
Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching |
| print.bystats |
Statistics by Categories |
| print.bystats2 |
Statistics by Categories |
| 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.dataRep |
Representativeness of Observations in a Data Set |
| print.describe |
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.html |
Convert an S object to HTML |
| 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.ldBands |
Group Sequential Boundaries using the Lan-DeMets Approach |
| 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.Quantile2 |
Simulate Power of 2-Sample Test for Survival under Complex Conditions |
| print.rcorr |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| print.spearman2.formula |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| print.special.miss |
Convert a SAS Dataset to an S Data Frame |
| 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.ldBands |
Group Sequential Boundaries using the Lan-DeMets Approach |
| print.t.test.cluster |
t-test for Clustered Data |
| print.transcan |
Transformations/Imputations using Canonical Variates |
| print.varclus |
Variable Clustering |
| prn |
Print and Object with its Name |
| ps.slide |
Postscript and Adobe PDF Setup for 35mm Slides and Other Formats |
| pstamp |
Date/Time/Directory Stamp the Current Plot |
| putKey |
Label Curves, Make Keys, and Interactively Draw Points and Curves |
| putKeyEmpty |
Label Curves, Make Keys, and Interactively Draw Points and Curves |
| rcorr |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| rcorr.cens |
Rank Correlation for Censored Data |
| rcorrp.cens |
Rank Correlation for Paired Predictors with a Censored Response |
| rcspline.eval |
Restricted Cubic Spline Design Matrix |
| rcspline.plot |
Plot Restricted Cubic Spline Function |
| rcspline.restate |
Re-state Restricted Cubic Spline Function |
| reLabelled |
Label Attribute of an Object |
| reorder.factor |
Reorder Factor Levels |
| replace.substring.wild |
Character String Editing and Miscellaneous Character Handling Functions |
| reShape |
Reshape Matrices and Serial Data |
| 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 |
| 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 |
| setpdf |
Postscript and Adobe PDF Setup for 35mm Slides and Other Formats |
| setps |
Postscript and Adobe PDF Setup for 35mm Slides and Other Formats |
| 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.html |
Convert an S object to HTML |
| show.latex |
Convert an S object to LaTeX, and Related Utilities |
| show.pch |
Display Colors, Plotting Symbols, and Symbol Numeric Equivalents |
| showPsfrag |
Postscript and Adobe PDF Setup for 35mm Slides and Other Formats |
| 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 |
| spearman |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| spearman2 |
Matrix of Correlations and Generalized Spearman Rank Correlation |
| 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 |
| store |
Store an Object Permanently |
| stores |
Store an Object Permanently |
| storeTemp |
Store an Object Permanently |
| stratify |
Summarize Data for Making Tables and Plots |
| subsAttr |
Summarize Scalars or Matrices by Cross-Classification |
| substring.location |
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.ldBands |
Group Sequential Boundaries using the Lan-DeMets Approach |
| summary.transcan |
Transformations/Imputations using Canonical Variates |
| symbol.freq |
Graphic Representation of a Frequency Table |
| sys |
Run Unix or Dos Depending on System |
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