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Statistical Analysis and Data Display: Heiberger and Holland

Support software for Statistical Analysis and Data Display (First Edition, Springer, ISBN 0-387-40270-5, 2004) and (Second Edition, Springer, ISBN 978-1-4939-2121-8, anticipated 2015) 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
HH.regsubsets Display tabular results for Best Subsets Regression.
defunct Defunct Functions in Package 'HH'
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
interval Prediction and Confidence Intervals for glm Objects
aovSufficient Analysis of variance from sufficient statistics for groups.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
pdiscunif Discrete Uniform Distribution
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
grid.yaxis.hh make x- and y-axis labels
ci.plot Plot confidence and prediction intervals for simple linear regression
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
panel.isomeans isomeans grid for MMC plots.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
col.hh Initializing Trellis Displays
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
panel.xysplom panel method for xysplom.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
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.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
print.latticeresids Print a latticeresids object.
ancova-class Class "ancova" Analysis of Covariance
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
formatHex Format numbers in binary and hex and decimal format, and scan binary and hex.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
export.eps Exports a graph to an EPS file.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
ancovaplot Analysis of Covariance Plots
axis.i2wt specialized axis function for interaction2wt.
hh Resolve filenames relative to the HH directory.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
hovBF Homogeneity of Variance: Brown--Forsyth method
latticeresids Subroutine used by residual.plots.lattice
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
cplx Generate a sequence spanning the xlim of a lattice window.
likertColor Selection of colors for Likert plots.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
logit Logistic and odds functions and their inverses.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
F.curve plot a chisquare or a F-curve.
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
vif Calculate the Variance Inflation Factor
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
npar.arma Count the number of parameters in an ARIMA model specification.
hov Homogeneity of Variance
lmatPairwise lmatPairwise
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.
mmc MMC (Mean--mean Multiple Comparisons) plots.
seqplot Time series plot.
diagQQ QQ plot of regression residuals.
intxplot Interaction plot, with an option to print standard error bars.
interaction.positioned interaction method for positioned factors.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
col3x2 col3x2 color dataset
panel.likert Panel functions for likert that include a stackWidth argument
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
if.R Conditional Execution for R or S-Plus
showHex Show numbers in binary and hex and decimal format
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
pyramidLikert Print a Likert plot as a Population Triangle
panel.axis.right Right-justify right-axis tick labels.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
resid.squares plot squared residuals in inches to match the y-dimension
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
residual.plots Residual plots for a linear model.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
lmplot Four types of residual plots for linear models.
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
Discrete4 Discrete with four levels color dataset.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
tsacfplots Coordinated time series and ACF and PCF plots.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
multicomp.order Update a multicomp object by ordering its contrasts.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
mcalinfct MCA multiple comparisons analysis (pairwise)
legendGrob2wt place separate keys to the left of each row of a trellis
panel.ci.plot Default Panel Function for ci.plot
arima.diag.hh Repair design error in S-Plus arima.diag
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.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
perspPlane Helper functions for regr2.plot
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
panel.bwplot.intermediate.hh Panel functions for bwplot.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
plot.hov Homogeneity of Variance Plot
rbind.trellis Extend matrix reshaping functions to trellis objects.
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.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
seqplot.forecast seqplot with confidence bands for the forecast region.
print.tsdiagplot Print a "tsdiagplot" object.
NormalAndTPower Construct a power graph based on the NTplot.
panel.acf Panel functions for tsdiagplot.
mmcisomeans Functions used by mmcplot.
partial.corr partial correlations
norm.curve plot a normal or a t-curve with both x and z axes.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
ancova Compute and plot oneway analysis of covariance
lm.case case statistics for regression analysis
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
objip loop through all attached directories looking for pattern
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
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Details

Type Package
Date 2015-11-06
License GPL (>= 2)
NeedsCompilation no
Packaged 2015-11-08 21:46:06 UTC; rmh
Repository CRAN
Date/Publication 2015-11-09 14:55:32

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