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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
defunct Defunct Functions in Package 'HH'
Discrete4 Discrete with four levels color dataset.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
HH-package HH
F.curve plot a chisquare or a F-curve.
HH.regsubsets Display tabular results for Best Subsets Regression.
CIplot Illustration of the meaning of confidence levels.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
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.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
arima.diag.hh Repair design error in S-Plus arima.diag
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
axis.i2wt specialized axis function for interaction2wt.
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.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
aovSufficient Analysis of variance from sufficient statistics for groups.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
pdiscunif Discrete Uniform Distribution
col3x2 col3x2 color dataset
interval Prediction and Confidence Intervals for glm Objects
intxplot Interaction plot, with an option to print standard error bars.
extra
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
hovBF Homogeneity of Variance: Brown--Forsyth method
interaction.positioned interaction method for positioned factors.
if.R Conditional Execution for R or S-Plus
ancova-class Class "ancova" Analysis of Covariance
ancovaplot Analysis of Covariance Plots
lm.case case statistics for regression analysis
interaction2wt Plot all main effects and twoway interactions in a multifactor design
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
lmatPairwise lmatPairwise
lmplot Four types of residual plots for linear models.
logit Logistic and odds functions and their inverses.
export.eps Exports a graph to an EPS file.
cplx Generate a sequence spanning the xlim of a lattice window.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
col.hh Initializing Trellis Displays
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
ci.plot Plot confidence and prediction intervals for simple linear regression
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
ancova Compute and plot oneway analysis of covariance
panel.axis.right Right-justify right-axis tick labels.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
NormalAndTPower Construct a power graph based on the NTplot.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
mmcisomeans Functions used by mmcplot.
panel.bwplot.intermediate.hh Panel functions for bwplot.
norm.curve plot a normal or a t-curve with both x and z axes.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
mmc MMC (Mean--mean Multiple Comparisons) plots.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
latticeresids Subroutine used by residual.plots.lattice
legendGrob2wt place separate keys to the left of each row of a trellis
grid.yaxis.hh make x- and y-axis labels
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
panel.acf Panel functions for tsdiagplot.
hh Resolve filenames relative to the HH directory.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
perspPlane Helper functions for regr2.plot
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
print.latticeresids Print a latticeresids object.
plot.hov Homogeneity of Variance Plot
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
rbind.trellis Extend matrix reshaping functions to trellis objects.
residual.plots Residual plots for a linear model.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
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.
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
multicomp.order Update a multicomp object by ordering its contrasts.
diagQQ QQ plot of regression residuals.
seqplot Time series plot.
print.tsdiagplot Print a "tsdiagplot" object.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
panel.xysplom panel method for xysplom.
panel.ci.plot Default Panel Function for ci.plot
partial.corr partial correlations
pyramidLikert Print a Likert plot as a Population Triangle
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
seqplot.forecast seqplot with confidence bands for the forecast region.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
tsacfplots Coordinated time series and ACF and PCF plots.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
npar.arma Count the number of parameters in an ARIMA model specification.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
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.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
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.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
likertColor Selection of colors for Likert plots.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
mcalinfct MCA multiple comparisons analysis (pairwise)
hov Homogeneity of Variance
panel.isomeans isomeans grid for MMC plots.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
strip.useOuterStrips.first Functions based on strip.default for use with the useOuterScales function.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
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
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.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
vif Calculate the Variance Inflation Factor
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
resid.squares plot squared residuals in inches to match the y-dimension
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
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Type Package
Date 2019-08-28
License GPL (>= 2)
NeedsCompilation no
Packaged 2019-08-29 03:06:52 UTC; rmh
Repository CRAN
Date/Publication 2019-08-29 10:10:02 UTC

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