HH v3.1-19


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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
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
panel.likert Panel functions for likert that include a stackWidth argument
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
Discrete4 Discrete with four levels color dataset.
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
seqplot Time series plot.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
grid.yaxis.hh make x- and y-axis labels
col3x2 col3x2 color dataset
ancovaplot Analysis of Covariance Plots
interaction2wt Plot all main effects and twoway interactions in a multifactor design
ancova-class Class "ancova" Analysis of Covariance
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
pdiscunif Discrete Uniform Distribution
mcalinfct MCA multiple comparisons analysis (pairwise)
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
likertColor Selection of colors for Likert plots.
lm.case case statistics for regression analysis
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
logit Logistic and odds functions and their inverses.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
hov Homogeneity of Variance
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
HH.regsubsets Display tabular results for Best Subsets Regression.
ancova Compute and plot oneway analysis of covariance
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
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
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
residual.plots Residual plots for a linear model.
aovSufficient Analysis of variance from sufficient statistics for groups.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
diagQQ QQ plot of regression residuals.
ci.plot Plot confidence and prediction intervals for simple linear regression
intxplot Interaction plot, with an option to print standard error bars.
panel.axis.right Right-justify right-axis tick labels.
npar.arma Count the number of parameters in an ARIMA model specification.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
interval Prediction and Confidence Intervals for glm Objects
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
latticeresids Subroutine used by residual.plots.lattice
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
mmc MMC (Mean--mean Multiple Comparisons) plots.
objip loop through all attached directories looking for pattern
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.
axis.i2wt specialized axis function for interaction2wt.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
interaction.positioned interaction method for positioned factors.
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
col.hh Initializing Trellis Displays
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
cplx Generate a sequence spanning the xlim of a lattice window.
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.
arima.diag.hh Repair design error in S-Plus arima.diag
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
hovBF Homogeneity of Variance: Brown--Forsyth method
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
vif Calculate the Variance Inflation Factor
export.eps Exports a graph to an EPS file.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.ci.plot Default Panel Function for ci.plot
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
lmatPairwise lmatPairwise
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
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.
lmplot Four types of residual plots for linear models.
multicomp.order Update a multicomp object by ordering its contrasts.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
partial.corr partial correlations
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
panel.acf Panel functions for tsdiagplot.
print.latticeresids Print a latticeresids object.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
print.tsdiagplot Print a "tsdiagplot" object.
rbind.trellis Extend matrix reshaping functions to trellis objects.
hh Resolve filenames relative to the HH directory.
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
norm.curve plot a normal or a t-curve with both x and z axes.
panel.xysplom panel method for xysplom.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
showHex Show numbers in binary and hex format
print.NormalAndTplot Print method for Normal and t plots from NTplot.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
perspPlane Helper functions for regr2.plot
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
panel.isomeans isomeans grid for MMC plots.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
mmcisomeans Functions used by mmcplot.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
F.curve plot a chisquare or a F-curve.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
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.
legendGrob2wt place separate keys to the left of each row of a trellis
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
seqplot.forecast seqplot with confidence bands for the forecast region.
tsacfplots Coordinated time series and ACF and PCF plots.
plot.hov Homogeneity of Variance Plot
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
pyramidLikert Print a Likert plot as a Population Triangle
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
if.R Conditional Execution for R or S-Plus
defunct Defunct Functions in Package 'HH'
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
NormalAndTPower Construct a power graph based on the NTplot.
resid.squares plot squared residuals in inches to match the y-dimension
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Type Package
Date 2015-06-09
License GPL (>= 2)
NeedsCompilation no
Packaged 2015-06-10 20:59:32 UTC; rmh
Repository CRAN
Date/Publication 2015-06-12 06:43:22

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