| abc |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| abrasion |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| acacia |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| acf.pacf.plot |
Coordinated time series and ACF and PCF plots. |
| acfplot |
Times series diagnostic plots for a structured set of ARIMA models. |
| AE.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| ae.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| ae.dotplot.long |
AE (Adverse Events) dotplot of incidence and relative risk |
| aeanonym |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| AEdata |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| AEdotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| AEdotplot.AElogrelrisk |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| AEdotplot.AEtable |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| AEdotplot.data.frame |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| AEdotplot.formula |
AE (Adverse Events) dotplot of incidence and relative risk |
| AElogrelrisk |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| AEmatchSortorder |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| aeReshapeToLong |
AE (Adverse Events) dotplot of incidence and relative risk |
| aicsigplot |
Times series diagnostic plots for a structured set of ARIMA models. |
| analysis of covariance |
Compute and plot oneway analysis of covariance |
| ancova |
Compute and plot oneway analysis of covariance |
| ancova-class |
Class "ancova" Analysis of Covariance |
| ancovaplot |
Analysis of Covariance Plots |
| ancovaplot.formula |
Analysis of Covariance Plots |
| animal |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| anneal |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| anova.ancova |
Compute and plot oneway analysis of covariance |
| anova.ancovaplot |
ANOVA table for a c("ancovaplot","trellis") object. |
| anovaMean |
ANOVA table from the group sample sizes, means, and standard deviations. |
| antilogit |
Logistic and odds functions and their inverses. |
| antiodds |
Logistic and odds functions and their inverses. |
| aov.ancovaplot |
ANOVA table for a c("ancovaplot","trellis") object. |
| aovStatement |
ANOVA table for a c("ancovaplot","trellis") object. |
| aovStatement.ancovaplot |
ANOVA table for a c("ancovaplot","trellis") object. |
| aovStatementAndAnova |
ANOVA table for a c("ancovaplot","trellis") object. |
| aovStatementAndAnova.ancovaplot |
ANOVA table for a c("ancovaplot","trellis") object. |
| aovSufficient |
Analysis of variance from sufficient statistics for groups. |
| aperm.trellis |
Extend matrix reshaping functions to trellis objects. |
| apple |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| ara |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| arima.diag.hh |
Repair design error in S-Plus arima.diag |
| arima.model |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| arma.loop |
Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. |
| as.character.arima.model |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| as.data.frame.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| as.glht |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.glht.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.likert |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.array |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.data.frame |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.default |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.formula |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.ftable |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.listOfNamedMatrices |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.matrix |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likert.table |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| as.likertDataFrame |
Convert a list of numeric matrices to a single matrix |
| as.likertDataFrame.array |
Convert a list of numeric matrices to a single matrix |
| as.likertDataFrame.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| as.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| as.listOfNamedMatrices.array |
Convert a list of numeric matrices to a single matrix |
| as.listOfNamedMatrices.list |
Convert a list of numeric matrices to a single matrix |
| as.listOfNamedMatrices.MatrixList |
Convert a list of numeric matrices to a single matrix |
| as.matrix.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| as.matrix.trellis |
Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. |
| as.MatrixList |
Convert a list of numeric matrices to a single matrix |
| as.MatrixList.array |
Convert a list of numeric matrices to a single matrix |
| as.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.multicomp.glht |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| as.numeric.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| as.position |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| as.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| as.pyramidLikert |
Print a Likert plot as a Population Triangle |
| as.rts |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| as.TwoTrellisColumns5 |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| as.vector.trellis |
Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. |
| AudiencePercent |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| axis.i2wt |
specialized axis function for interaction2wt. |
| axis.RightAdjustRight |
Right-justify right-axis tick labels. |
| c.AEdotplot |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| c3c4 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| case |
case statistics for regression analysis |
| case.lm |
case statistics for regression analysis |
| catalystm |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| cbind.trellis |
Extend matrix reshaping functions to trellis objects. |
| cc135 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| cc176 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| cement |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| census4 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| cereals |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| chimp |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| chisq.curve |
plot a chisquare or a F-curve. |
| chisq.observed |
plot a chisquare or a F-curve. |
| chisq.setup |
plot a chisquare or a F-curve. |
| ci.plot |
Plot confidence and prediction intervals for simple linear regression |
| ci.plot.lm |
Plot confidence and prediction intervals for simple linear regression |
| CIplot |
Illustration of the meaning of confidence levels. |
| circuit |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| co2 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| coef.ancova |
Compute and plot oneway analysis of covariance |
| coefArimaHH |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| col.hh |
Initializing Trellis Displays |
| col3x2 |
col3x2 color dataset |
| ColorSet |
Selection of colors for Likert plots. |
| colPcts |
Row and columns percents |
| combineLimits.trellisvector |
Combine limits on a one-dimensional trellis object. |
| concord |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| confinterval.matrix |
Illustration of the meaning of confidence levels. |
| confintervaldata |
Illustration of the meaning of confidence levels. |
| confintervalplot |
Illustration of the meaning of confidence levels. |
| covariance |
Compute and plot oneway analysis of covariance |
| cp.calc |
Rearranges and improves the legibility of the output from the stepwise function in S-Plus. |
| cplx |
Generate a sequence spanning the xlim of a lattice window. |
| crash |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| crime |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| darwin |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| datasets |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| dchisq.intermediate |
Intermediate f and chisq functions to simplify writing for both R and S-Plus. |
| ddiscunif |
Discrete Uniform Distribution |
| Design_2.8_2 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| Design_2.8_2_full |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| df.intermediate |
Intermediate f and chisq functions to simplify writing for both R and S-Plus. |
| diag.arma.loop |
Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. |
| diag.maybe.null |
Returns a value for the diagonal of NA and NULL arguments. |
| diagplot5new |
Transpose of ECDF for centered fitted values and residuals from a linear model. |
| diagQQ |
QQ plot of regression residuals. |
| diamond |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| differential |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| Discrete4 |
Discrete with four levels color dataset. |
| display |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| distress |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| do.formula.trellis.xysplom |
Interprets model formulas for xysplom and extended bwplots |
| draft |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| draft70mn |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| drunk |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| har1 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| har2 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| har3 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| hardness |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| heartvalve |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| HH |
Statistical Analysis and Data Display: Heiberger and Holland |
| HH.regsubsets |
Display tabular results for Best Subsets Regression. |
| hhcapture |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| hhcode |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| hhdev.off |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| hhlatex |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| hhpdf |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| hhpng |
R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex |
| HHscriptnames |
Find absolute pathname of a script file for the HH book in the HH package. |
| hooppine |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| hospital |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| hotdog |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| houseprice |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| hov |
Homogeneity of Variance |
| hov.bf |
Homogeneity of Variance |
| hovBF |
Homogeneity of Variance: Brown-Forsyth method |
| hovPlot |
Homogeneity of Variance Plot |
| hovPlot.bf |
Homogeneity of Variance Plot |
| hovplotBF |
Homogeneity of Variance: Brown-Forsyth method |
| hpErie |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| htwt |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| iceskate |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| icu |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| if.R |
Conditional Execution for R or S-Plus |
| income |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| inconsistent |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| InsertVerticalPanels |
Expand a 3D array on the second dimension, inserting empty layers where the input vector has a '0' value. A 2D argument 'x' with 'dim(x)==c(r,c)' is first extended to 3D with 'dim(x)==c(1,r,c)', and then the result is collapsed back to 2D. |
| interaction.positioned |
interaction method for positioned factors. |
| interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
| interaction2wt.default |
Plot all main effects and twoway interactions in a multifactor design |
| interaction2wt.formula |
Plot all main effects and twoway interactions in a multifactor design |
| interval |
Prediction and Confidence Intervals for glm Objects |
| interval.glm |
Prediction and Confidence Intervals for glm Objects |
| intubate |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| intxplot |
Interaction plot, with an option to print standard error bars. |
| ironpot |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| is.likert |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| is.likertCapable |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| is.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| is.na.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| is.numeric.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| is.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| is.R |
Conditional Execution for R or S-Plus |
| ladder |
Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| ladder.f |
Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| ladder.fstar |
Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| ladder3 |
Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| lake |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| latex.array |
Generate the latex code for an '"array"' or '"table"' with 3, 4, or more dimensions. |
| latex.matrix |
Generate the latex code for an '"array"' or '"table"' with 3, 4, or more dimensions. |
| latex.table |
Generate the latex code for an '"array"' or '"table"' with 3, 4, or more dimensions. |
| latticeresids |
Subroutine used by residual.plots.lattice |
| leftLabels.trellis |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| legendGrob2wt |
place separate keys to the left of each row of a trellis |
| leukemia |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| lft.asat |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| lifeins |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| likert |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| likertColor |
Selection of colors for Likert plots. |
| likertColorBrewer |
Selection of colors for Likert plots. |
| likertMosaic |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.array |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.data.frame |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.default |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.formula |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.list |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| likertMosaic.matrix |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style. |
| LikertPercentCountColumns |
Display likert plots with percents in the first column of panels and counts in the second column of panels. |
| likertplot |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| likertWeighted |
Special case wrapper for likert() when multiple columns are to have the same bar thicknesses. Uses formula with one or two conditioning variables. |
| likertWeighted.array |
Special case wrapper for likert() when multiple columns are to have the same bar thicknesses. Uses formula with one or two conditioning variables. |
| likertWeighted.default |
Special case wrapper for likert() when multiple columns are to have the same bar thicknesses. Uses formula with one or two conditioning variables. |
| likertWeighted.formula |
Special case wrapper for likert() when multiple columns are to have the same bar thicknesses. Uses formula with one or two conditioning variables. |
| lm.regsubsets |
Evaluate lm model with highest adjusted $R^2$. |
| lmatContrast |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmatPairwise |
lmatPairwise |
| lmatPairwise.glht |
lmatPairwise |
| lmatPairwise.matrix |
lmatPairwise |
| lmatPairwise.mmc |
lmatPairwise |
| lmatPairwise.mmc.multicomp |
lmatPairwise |
| lmatRows |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmatRows.glht |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmatRows.lm |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmatRows.mmc.multicomp |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmatRows.multicomp |
Find the row numbers in the lmat corresponding to the focus factor. |
| lmplot |
Four types of residual plots for linear models. |
| logit |
Logistic and odds functions and their inverses. |
| logrelrisk |
AE (Adverse Events) dotplot of incidence and relative risk |
| longley |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| lymph |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| mainSubLegend.trellis |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| maiz |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| make.xaxis.hh.labels |
make x- and y-axis labels |
| make.yaxis.hh.labels |
make x- and y-axis labels |
| manhours |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| market |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| matrix |
Convert a list of numeric matrices to a single matrix |
| matrix.trellis |
Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work. |
| mcalinfct |
MCA multiple comparisons analysis (pairwise) |
| mcp2matrix.993 |
Retain averaging behavior that was previously available in glht. |
| mice |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| mileage |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| MMC |
MMC (Mean-mean Multiple Comparisons) plots. |
| mmc |
MMC (Mean-mean Multiple Comparisons) plots. |
| mmc.default |
MMC (Mean-mean Multiple Comparisons) plots. |
| mmc.glht |
MMC (Mean-mean Multiple Comparisons) plots. |
| mmc.mean |
MMC (Mean-mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. |
| mmcAspect |
Control aspect ratio in MMC plots to maintain isomeans grid as a square. |
| mmcboth |
Functions used by mmcplot. |
| mmcisomeans |
Functions used by mmcplot. |
| mmcmatch |
Functions used by mmcplot. |
| mmcplot |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcplot.default |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcplot.glht |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcplot.mmc |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcplot.mmc.multicomp |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcplot.multicomp |
MMC (Mean-mean Multiple Comparisons) plots in lattice. |
| mmcPruneIsomeans |
MMC plots in lattice-suppress isomeans grid lines for specified levels of the factor. |
| model.frame.ancova |
Compute and plot oneway analysis of covariance |
| model.tables.ancovaplot |
ANOVA table for a c("ancovaplot","trellis") object. |
| mortality |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| mpg |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| multicomp |
MMC (Mean-mean Multiple Comparisons) plots. |
| multicomp.label.change |
Update a multicomp object by ordering its contrasts. |
| multicomp.label.change.mmc.multicomp |
Update a multicomp object by ordering its contrasts. |
| multicomp.label.change.multicomp |
Update a multicomp object by ordering its contrasts. |
| multicomp.mean |
MMC (Mean-mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. |
| multicomp.mmc |
MMC (Mean-mean Multiple Comparisons) plots. |
| multicomp.mmc.mean |
MMC (Mean-mean Multiple Comparisons) plots from the sufficient statistics for a one-way design. |
| multicomp.order |
Update a multicomp object by ordering its contrasts. |
| multicomp.reverse |
Force all comparisons in a "multicomp" object to have the same sign. |
| muscle |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| njgolf |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| norm.curve |
plot a normal or a t-curve with both x and z axes. |
| norm.observed |
plot a normal or a t-curve with both x and z axes. |
| norm.outline |
plot a normal or a t-curve with both x and z axes. |
| norm.setup |
plot a normal or a t-curve with both x and z axes. |
| normal.and.t.dist |
plot a normal or a t-curve with both x and z axes. |
| NormalAndTplot |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. |
| NormalAndTplot.default |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. |
| NormalAndTplot.htest |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals. |
| NormalAndTPower |
Construct a power graph based on the NTplot. |
| normalApproxBinomial |
Plots to illustrate Normal Approximation to the Binomial-hypothesis tests or confidence intervals. |
| normtemp |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| notch |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| npar.arma |
Count the number of parameters in an ARIMA model specification. |
| npar.rarma |
Count the number of parameters in an ARIMA model specification. |
| npar.sarma |
Count the number of parameters in an ARIMA model specification. |
| NTplot |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. |
| NTplot.default |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. |
| NTplot.htest |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. |
| NTplot.NormalAndTplot |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. |
| NTplot.power.htest |
Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial. |
| NZScienceTeaching |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| panel.acf |
Panel functions for tsdiagplot. |
| panel.ae.dotplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| panel.ae.leftplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| panel.ae.rightplot |
AE (Adverse Events) dotplot of incidence and relative risk |
| panel.ancova |
Compute and plot oneway analysis of covariance |
| panel.ancova.superpose |
Analysis of Covariance Plots |
| panel.axis.right |
Right-justify right-axis tick labels. |
| panel.barchart2 |
Panel functions for likert that include a stackWidth argument |
| panel.bwplot.groups |
Panel function for bwplot that displays an entire box in the colors coded by groups. |
| panel.bwplot.intermediate.hh |
Panel functions for bwplot. |
| panel.bwplot.superpose |
Panel function for bwplot that displays an entire box in the colors coded by groups. |
| panel.bwplott |
Extension to S-Plus trellis to allow transposed plots. |
| panel.cartesian |
trellis panel function, with labeled rows and columns and without strip labels. |
| panel.case |
case statistics for regression analysis |
| panel.ci.plot |
Default Panel Function for ci.plot |
| panel.confintMMC |
Confidence interval panel for MMC tiebreaker plots, or confidence interval plot. |
| panel.dotplot.tb |
Dotplot with evenly spaced tiebreakers. |
| panel.gof |
Panel functions for tsdiagplot. |
| panel.hov |
Homogeneity of Variance Plot |
| panel.interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
| panel.intxplot |
Interaction plot, with an option to print standard error bars. |
| panel.isomeans |
isomeans grid for MMC plots. |
| panel.likert |
Panel functions for likert that include a stackWidth argument |
| panel.pairs.hh |
Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. |
| panel.residSquare |
Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. |
| panel.std.resid |
Panel functions for tsdiagplot. |
| panel.xysplom |
panel method for xysplom. |
| panelOnly.trellis |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| paper |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| partial.corr |
partial correlations |
| patient |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| pchisq.intermediate |
Intermediate f and chisq functions to simplify writing for both R and S-Plus. |
| pdf.latex |
Construct a pdf file from a "latex" file. See Hmisc::latex for concepts. |
| pdiscunif |
Discrete Uniform Distribution |
| perspBack.wall.x |
Helper functions for regr2.plot |
| perspBack.wall.y |
Helper functions for regr2.plot |
| perspFloor |
Helper functions for regr2.plot |
| perspPlane |
Helper functions for regr2.plot |
| pf.intermediate |
Intermediate f and chisq functions to simplify writing for both R and S-Plus. |
| plasma |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| plot.ancova |
Compute and plot oneway analysis of covariance |
| plot.case |
case statistics for regression analysis |
| plot.likert |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.array |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.data.frame |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.default |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.formula |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.ftable |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.likert |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.list |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.matrix |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.structable |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.likert.table |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| plot.mmc.multicomp |
MMC (Mean-mean Multiple Comparisons) plot. |
| plot.multicomp |
Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. |
| plot.multicomp.adjusted |
Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. |
| plot.multicomp.hh |
Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. |
| plot.summaryHH.regsubsets |
Display tabular results for Best Subsets Regression. |
| plotMatchMMC |
Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. |
| plotOddsRatio |
Calculate or plot the odds ratio for a 2x2 table of counts. |
| plotOddsRatio.base |
Calculate or plot the odds ratio for a 2x2 table of counts. |
| political |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| PoorChildren |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| pop.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
| position |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| position<- |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| positioned-class |
Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. |
| potency |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| power curve |
Construct a power graph based on the NTplot. |
| powerplot |
Construct a power graph based on the NTplot. |
| powerplot.NormalAndTplot |
Construct a power graph based on the NTplot. |
| pox |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| predict.ancova |
Compute and plot oneway analysis of covariance |
| print.AEdotplot |
AE (Adverse Events) dotplot of incidence and relative risk, support functions |
| print.ancova |
Compute and plot oneway analysis of covariance |
| print.arma.loop |
summary and print and subscript methods for tsdiagplot and related objects. |
| print.arma.loop.list |
summary and print and subscript methods for tsdiagplot and related objects. |
| print.cp.object |
Rearranges and improves the legibility of the output from the stepwise function in S-Plus. |
| print.latticeresids |
Print a 'latticeresids' object. |
| print.listOfNamedMatrices |
Convert a list of numeric matrices to a single matrix |
| print.MatrixList |
Convert a list of numeric matrices to a single matrix |
| print.mmc.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.multicomp |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.multicomp.hh |
Support functions in R for MMC (mean-mean multiple comparisons) plots. |
| print.NormalAndTplot |
Print method for Normal and t plots from NTplot. |
| print.positioned |
Find or assign the implied position for graphing the levels of a factor. A new class "positioned", which inherits from "ordered" and "factor", is defined. |
| print.pyramidLikert |
Print a Likert plot as a Population Triangle |
| print.summaryHH.regsubsets |
Display tabular results for Best Subsets Regression. |
| print.tsacfplots |
summary and print and subscript methods for tsdiagplot and related objects. |
| print.tsdiagplot |
Print a "tsdiagplot" object. |
| print.TwoTrellisColumns5 |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| print1.tsdiagplot |
Print a "tsdiagplot" object. |
| print2.tsdiagplot |
Print a "tsdiagplot" object. |
| product |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| ProfChal |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| ProfDiv |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| psycho |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| pulmonary |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| pulse |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| push.vp.hh |
push and pop a grid viewport, turn clipping off, change scale. |
| pyramid |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| pyramidLikert |
Print a Likert plot as a Population Triangle |
| R282 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| R282.y |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| radioact |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rbind.trellis |
Extend matrix reshaping functions to trellis objects. |
| rdiscunif |
Discrete Uniform Distribution |
| rearrange.diag.arma.loop |
Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. |
| regr1.plot |
plot x and y, with optional straight line fit and display of squared residuals |
| regr2.plot |
3D plot of z against x and y, with regression plane fit and display of squared residuals. |
| regrresidplot |
Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares. |
| rent |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| reorder.trellis |
Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object. |
| resid.squares |
plot squared residuals in inches to match the y-dimension |
| residplot |
Times series diagnostic plots for a structured set of ARIMA models. |
| residual.plots |
Residual plots for a linear model. |
| residual.plots.lattice |
Construct four sets of regression plots: Y against X, residuals against X, partial residuals against X, partial residuals against each X adjusted for all the other X columns. |
| residVSfitted |
Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat |
| ResizeEtc |
Display multiple independent trellis objects on the same coordinated scale. |
| ResizeEtc.likertPlot |
Display multiple independent trellis objects, representing likert plots, on the same coordinated scale. |
| retard |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rev.likert |
Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data. |
| rhiz.alfalfa |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rhiz.clover |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rhizobium1 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rhizobium3 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| rightLabels.trellis |
Print two conformable trellis plots in adjacent columns with user control of widths. |
| rowPcts |
Row and columns percents |
| salary |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| salinity |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| salk |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| scaleLocation |
Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat |
| seeding |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| selfexam |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| semantic |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| seqplot |
Time series plot. |
| seqplot.default |
Time series plot. |
| seqplot.ts |
Time series plot. |
| seqplotForecast |
seqplot with confidence bands for the forecast region. |
| SFF8121 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| shiny.CIplot |
Illustration of the meaning of confidence levels. |
| shipment |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| sickle |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| skateslc |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| sliding |
Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids. |
| smokers |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| spacshu |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| spindle |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| sprint |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| stopdist |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| strip.background0 |
Turn off the coloring in the trellis strip labels. Color 0 is the background color. |
| strip.interaction2wt |
Plot all main effects and twoway interactions in a multifactor design |
| strip.ladder |
Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. |
| strip.left.useOuterStrips |
Functions based on strip.default for use with the useOuterScales function. |
| strip.left1 |
Functions based on strip.default for use with the useOuterScales function. |
| strip.left2 |
Functions based on strip.default for use with the useOuterScales function. |
| strip.top1 |
Functions based on strip.default for use with the useOuterScales function. |
| strip.top2 |
Functions based on strip.default for use with the useOuterScales function. |
| strip.useOuterStrips.first |
Functions based on strip.default for use with the useOuterScales function. |
| strip.useOuterStrips.last |
Functions based on strip.default for use with the useOuterScales function. |
| strip.xysplom |
strip function that is able to place the correlation or regression coefficient into the strip label. |
| sufficient |
Calculates the mean, standard deviation, and number of observations in each group of a data.frame that has one continuous variable and two factors. |
| summary.ancova |
Compute and plot oneway analysis of covariance |
| summary.arma.loop |
summary and print and subscript methods for tsdiagplot and related objects. |
| summary.arma.loop.list |
summary and print and subscript methods for tsdiagplot and related objects. |
| summaryHH |
Display tabular results for Best Subsets Regression. |
| summaryHH.regsubsets |
Display tabular results for Best Subsets Regression. |
| surface |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tablet1 |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| teachers |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| testing |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| testscore |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tires |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| title.grob |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| title.trellis |
Miscellaneous functions that I wish were in or consistent between S-Plus and R. |
| ToBW.likert |
Change colors in a likert plot to shades of Black and White. |
| toCQxR |
Reshape a 3-way array to a 2-way data.frame that can can be used with a trellis conditioning formula to get the three-way behavior. Used with likertWeighted(). |
| tongue |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| transpose |
Extend matrix reshaping functions to trellis objects. |
| transpose.default |
Extend matrix reshaping functions to trellis objects. |
| transpose.trellis |
Extend matrix reshaping functions to trellis objects. |
| tsacfplots |
Coordinated time series and ACF and PCF plots. |
| tsdiagplot |
Times series diagnostic plots for a structured set of ARIMA models. |
| tser.mystery.X |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tser.mystery.Y |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tser.mystery.Z |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tsq |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| turkey |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
| tv |
Datasets for Statistical Analysis and Data Display, Heiberger and Holland |
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