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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
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
aovSufficient Analysis of variance from sufficient statistics for groups.
intxplot Interaction plot, with an option to print standard error bars.
ci.plot Plot confidence and prediction intervals for simple linear regression
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
ancova Compute and plot oneway analysis of covariance
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
defunct Defunct Functions in Package 'HH'
ancovaplot Analysis of Covariance Plots
HH.regsubsets Display tabular results for Best Subsets Regression.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
axis.i2wt specialized axis function for interaction2wt.
likertColor Selection of colors for Likert plots.
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
col.hh Initializing Trellis Displays
print.latticeresids Print a latticeresids object.
panel.bwplott Extension to S-Plus trellis to allow transposed 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.
print.tsdiagplot Print a "tsdiagplot" object.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
export.eps Exports a graph to an EPS file.
cplx Generate a sequence spanning the xlim of a lattice window.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.isomeans isomeans grid for MMC plots.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
hh Resolve filenames relative to the HH directory.
interaction.positioned interaction method for positioned factors.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
arima.diag.hh Repair design error in S-Plus arima.diag
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) 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.
logit Logistic and odds functions and their inverses.
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
panel.xysplom panel method for xysplom.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
legendGrob2wt place separate keys to the left of each row of a trellis
partial.corr partial correlations
ancova-class Class "ancova" Analysis of Covariance
interaction2wt Plot all main effects and twoway interactions in a multifactor design
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
panel.bwplot.intermediate.hh Panel functions for bwplot.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
mcalinfct MCA multiple comparisons analysis (pairwise)
if.R Conditional Execution for R or S-Plus
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
npar.arma Count the number of parameters in an ARIMA model specification.
panel.ci.plot Default Panel Function for ci.plot
panel.acf Panel functions for tsdiagplot.
mmcisomeans Functions used by mmcplot.
objip loop through all attached directories looking for pattern
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
mmc MMC (Mean--mean Multiple Comparisons) plots.
lmplot Four types of residual plots for linear models.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
normalApproxBinomial Plots to illustrate Normal Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
F.curve plot a chisquare or a F-curve.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
hov Homogeneity of Variance
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
perspPlane Helper functions for regr2.plot
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
tsacfplots Coordinated time series and ACF and PCF plots.
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.axis.right Right-justify right-axis tick labels.
interval Prediction and Confidence Intervals for glm 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.
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.
hovBF Homogeneity of Variance: Brown--Forsyth method
norm.curve plot a normal or a t-curve with both x and z axes.
plot.hov Homogeneity of Variance Plot
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
resid.squares plot squared residuals in inches to match the y-dimension
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object.
grid.yaxis.hh make x- and y-axis labels
multicomp.order Update a multicomp object by ordering its contrasts.
diagQQ QQ plot of regression residuals.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
seqplot.forecast seqplot with confidence bands for the forecast region.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
latticeresids Subroutine used by residual.plots.lattice
residual.plots Residual plots for a linear model.
pdiscunif Discrete Uniform Distribution
rbind.trellis Extend matrix reshaping functions to trellis objects.
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
seqplot Time series plot.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
panel.likert Panel functions for likert that include a stackWidth argument
pyramidLikert Print a Likert plot as a Population Triangle
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
vif Calculate the Variance Inflation Factor
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
NormalAndTPower Construct a power graph based on the NTplot.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
lm.case case statistics for regression analysis
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Type Package
Date 2015-01-08
License GPL (>= 2)
NeedsCompilation no
Packaged 2015-01-09 03:28:45 UTC; rmh
Repository CRAN
Date/Publication 2015-01-09 06:17:57

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