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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
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
ancova-class Class "ancova" Analysis of Covariance
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
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.
ancova Compute and plot oneway analysis of covariance
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
axis.i2wt specialized axis function for interaction2wt.
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
ci.plot Plot confidence and prediction intervals for simple linear regression
export.eps Exports a graph to an EPS file.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
pdiscunif Discrete Uniform Distribution
cplx Generate a sequence spanning the xlim of a lattice window.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
Discrete4 Discrete with four levels color dataset.
col.hh Initializing Trellis Displays
F.curve plot a chisquare or a F-curve.
hh Resolve filenames relative to the HH directory.
col3x2 col3x2 color dataset
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
HH.regsubsets Display tabular results for Best Subsets Regression.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
grid.yaxis.hh make x- and y-axis labels
hovBF Homogeneity of Variance: Brown--Forsyth method
hov Homogeneity of Variance
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
interaction.positioned interaction method for positioned factors.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
diagQQ QQ plot of regression residuals.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
intxplot Interaction plot, with an option to print standard error bars.
if.R Conditional Execution for R or S-Plus
interaction2wt Plot all main effects and twoway interactions in a multifactor design
lm.case case statistics for regression analysis
logit Logistic and odds functions and their inverses.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
defunct Defunct Functions in Package 'HH'
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
mmcisomeans Functions used by mmcplot.
mmc MMC (Mean--mean Multiple Comparisons) plots.
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.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
interval Prediction and Confidence Intervals for glm Objects
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
lmatPairwise lmatPairwise
legendGrob2wt place separate keys to the left of each row of a trellis
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
panel.likert Panel functions for likert that include a stackWidth argument
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
panel.ci.plot Default Panel Function for ci.plot
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
lmplot Four types of residual plots for linear models.
latticeresids Subroutine used by residual.plots.lattice
print.latticeresids Print a latticeresids object.
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.
partial.corr partial correlations
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
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)
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
NormalAndTPower Construct a power graph based on the NTplot.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
rbind.trellis Extend matrix reshaping functions to trellis objects.
panel.acf Panel functions for tsdiagplot.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
panel.axis.right Right-justify right-axis tick labels.
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
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.
seqplot.forecast seqplot with confidence bands for the forecast region.
seqplot Time series plot.
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.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
npar.arma Count the number of parameters in an ARIMA model specification.
panel.isomeans isomeans grid for MMC plots.
tsacfplots Coordinated time series and ACF and PCF plots.
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
perspPlane Helper functions for regr2.plot
plot.hov Homogeneity of Variance Plot
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
panel.xysplom panel method for xysplom.
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.
print.tsdiagplot Print a "tsdiagplot" object.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
resid.squares plot squared residuals in inches to match the y-dimension
pyramidLikert Print a Likert plot as a Population Triangle
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
residual.plots Residual plots for a linear model.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
vif Calculate the Variance Inflation Factor
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
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Type Package
Date 2016-06-22
License GPL (>= 2)
NeedsCompilation no
Packaged 2016-06-22 04:32:23 UTC; rmh
Repository CRAN
Date/Publication 2016-06-23 01:13:28

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