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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
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
F.curve plot a chisquare or a F-curve.
defunct Defunct Functions in Package 'HH'
ancova Compute and plot oneway analysis of covariance
CIplot Illustration of the meaning of confidence levels.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
ancova-class Class "ancova" Analysis of Covariance
ancovaplot Analysis of Covariance Plots
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
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.
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
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
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
col3x2 col3x2 color dataset
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
pdiscunif Discrete Uniform Distribution
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
export.eps Exports a graph to an EPS file.
axis.i2wt specialized axis function for interaction2wt.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
aovSufficient Analysis of variance from sufficient statistics for groups.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
ci.plot Plot confidence and prediction intervals for simple linear regression
col.hh Initializing Trellis Displays
extra
Discrete4 Discrete with four levels color dataset.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
hovBF Homogeneity of Variance: Brown--Forsyth method
hov Homogeneity of Variance
intxplot Interaction plot, with an option to print standard error bars.
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
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
if.R Conditional Execution for R or S-Plus
interaction.positioned interaction method for positioned factors.
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
lm.case case statistics for regression analysis
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
lmatPairwise lmatPairwise
perspPlane Helper functions for regr2.plot
panel.axis.right Right-justify right-axis tick labels.
panel.ci.plot Default Panel Function for ci.plot
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
partial.corr partial correlations
multicomp.order Update a multicomp object by ordering its contrasts.
panel.acf Panel functions for tsdiagplot.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
print.latticeresids Print a latticeresids object.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
strip.useOuterStrips.first Functions based on strip.default for use with the useOuterScales function.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
likertColor Selection of colors for Likert plots.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
cplx Generate a sequence spanning the xlim of a lattice window.
tsacfplots Coordinated time series and ACF and PCF plots.
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.
diagQQ QQ plot of regression residuals.
logit Logistic and odds functions and their inverses.
lmplot Four types of residual plots for linear models.
grid.yaxis.hh make x- and y-axis labels
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
NormalAndTPower Construct a power graph based on the NTplot.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
panel.isomeans isomeans grid for MMC plots.
mcalinfct MCA multiple comparisons analysis (pairwise)
mmc MMC (Mean--mean Multiple Comparisons) plots.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
panel.likert Panel functions for likert that include a stackWidth argument
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
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.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
plot.hov Homogeneity of Variance Plot
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
latticeresids Subroutine used by residual.plots.lattice
interval Prediction and Confidence Intervals for glm Objects
legendGrob2wt place separate keys to the left of each row of a trellis
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.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
print.tsdiagplot Print a "tsdiagplot" object.
rbind.trellis Extend matrix reshaping functions to trellis objects.
pyramidLikert Print a Likert plot as a Population Triangle
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.
resid.squares plot squared residuals in inches to match the y-dimension
mmcisomeans Functions used by mmcplot.
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
npar.arma Count the number of parameters in an ARIMA model specification.
seqplot.forecast seqplot with confidence bands for the forecast region.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
residual.plots Residual plots for a linear model.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
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.
panel.xysplom panel method for xysplom.
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.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
vif Calculate the Variance Inflation Factor
seqplot Time series plot.
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
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
HH.regsubsets Display tabular results for Best Subsets Regression.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
HH-package HH
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
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Type Package
Date 2019-12-08
License GPL (>= 2)
NeedsCompilation no
Packaged 2019-12-10 21:59:04 UTC; rmh
Repository CRAN
Date/Publication 2019-12-11 14:40:06 UTC

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