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Statistical Analysis and Data Display: Heiberger and Holland

Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.

Functions in HH

Name Description
F.curve plot a chisquare or a F-curve.
HH-package HH
ancova-class Class "ancova" Analysis of Covariance
defunct Defunct Functions in Package 'HH'
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
aovSufficient Analysis of variance from sufficient statistics for groups.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
Discrete4 Discrete with four levels color dataset.
CIplot Illustration of the meaning of confidence levels.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
ancova Compute and plot oneway analysis of covariance
col3x2 col3x2 color dataset
HH.regsubsets Display tabular results for Best Subsets Regression.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
OneWayVarPlot Displays a three-panel bwplot of the data by group, of the group means, and of the entire dataset. This is an approximate visualization of the Mean Square lines from the ANOVA table for a one-way ANOVA model.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
hov Homogeneity of Variance
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
hovBF Homogeneity of Variance: Brown--Forsyth method
diagQQ QQ plot of regression residuals.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
arima.diag.hh Repair design error in S-Plus arima.diag
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
ancovaplot Analysis of Covariance Plots
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
axis.i2wt specialized axis function for interaction2wt.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
extra
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
if.R Conditional Execution for R or S-Plus
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
interaction.positioned interaction method for positioned factors.
grid.yaxis.hh make x- and y-axis labels
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
lm.case case statistics for regression analysis
intxplot Interaction plot, with an option to print standard error bars.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
mmcisomeans Functions used by mmcplot.
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
rbind.trellis Extend matrix reshaping functions to trellis objects.
NormalAndTPower Construct a power graph based on the NTplot.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
pyramidLikert Print a Likert plot as a Population Triangle
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
plot.hov Homogeneity of Variance Plot
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
lmatPairwise lmatPairwise
lmplot Four types of residual plots for linear models.
cplx Generate a sequence spanning the xlim of a lattice window.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
export.eps Exports a graph to an EPS file.
mcalinfct MCA multiple comparisons analysis (pairwise)
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
mmc MMC (Mean--mean Multiple Comparisons) plots.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
multicomp.order Update a multicomp object by ordering its contrasts.
seqplot.forecast seqplot with confidence bands for the forecast region.
interval Prediction and Confidence Intervals for glm Objects
vif Calculate the Variance Inflation Factor
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.acf Panel functions for tsdiagplot.
ci.plot Plot confidence and prediction intervals for simple linear regression
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
panel.xysplom panel method for xysplom.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
panel.axis.right Right-justify right-axis tick labels.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
print.latticeresids Print a latticeresids object.
latticeresids Subroutine used by residual.plots.lattice
col.hh Initializing Trellis Displays
legendGrob2wt place separate keys to the left of each row of a trellis
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
tsacfplots Coordinated time series and ACF and PCF plots.
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.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
pdiscunif Discrete Uniform Distribution
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
npar.arma Count the number of parameters in an ARIMA model specification.
panel.isomeans isomeans grid for MMC plots.
panel.likert Panel functions for likert that include a stackWidth argument
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
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.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
likertColor Selection of colors for Likert plots.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
panel.bwplot.intermediate.hh Panel functions for bwplot.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
resid.squares plot squared residuals in inches to match the y-dimension
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
logit Logistic and odds functions and their inverses.
residual.plots Residual plots for a linear model.
strip.useOuterStrips.first Functions based on strip.default for use with the useOuterScales function.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
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.
useOuterScales Put scales for axes only on the bottom and left panels of a lattice display, and give fine control over the placement of strips
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
partial.corr partial correlations
print.tsdiagplot Print a "tsdiagplot" object.
perspPlane Helper functions for regr2.plot
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
panel.ci.plot Default Panel Function for ci.plot
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
norm.curve plot a normal or a t-curve with both x and z axes.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
seqplot Time series plot.
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.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
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Details

Type Package
Date 2020-11-27
License GPL (>= 2)
NeedsCompilation no
Packaged 2020-11-28 00:02:22 UTC; rmh
Repository CRAN
Date/Publication 2020-11-28 05:30:02 UTC

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