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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
arima.diag.hh Repair design error in S-Plus arima.diag
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
ancova Compute and plot oneway analysis of covariance
aovSufficient Analysis of variance from sufficient statistics for groups.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
ancova-class Class "ancova" Analysis of Covariance
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
axis.i2wt specialized axis function for interaction2wt.
col.hh Initializing Trellis Displays
CIplot Illustration of the meaning of confidence levels.
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
ci.plot Plot confidence and prediction intervals for simple linear regression
col3x2 col3x2 color dataset
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
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.
cplx Generate a sequence spanning the xlim of a lattice window.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
Discrete4 Discrete with four levels color dataset.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
diagQQ QQ plot of regression residuals.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
pdiscunif Discrete Uniform Distribution
grid.yaxis.hh make x- and y-axis labels
F.curve plot a chisquare or a F-curve.
extra
export.eps Exports a graph to an EPS file.
HH.regsubsets Display tabular results for Best Subsets Regression.
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
hovBF Homogeneity of Variance: Brown--Forsyth method
if.R Conditional Execution for R or S-Plus
defunct Defunct Functions in Package 'HH'
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
interaction.positioned interaction method for positioned factors.
hov Homogeneity of Variance
hh Resolve filenames relative to the HH directory.
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
interval Prediction and Confidence Intervals for glm Objects
intxplot Interaction plot, with an option to print standard error bars.
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
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
legendGrob2wt place separate keys to the left of each row of a trellis
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
likertColor Selection of colors for Likert plots.
latticeresids Subroutine used by residual.plots.lattice
logit Logistic and odds functions and their inverses.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
mmcisomeans Functions used by mmcplot.
mmc MMC (Mean--mean Multiple Comparisons) plots.
lmplot Four types of residual plots for linear models.
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
lmatPairwise lmatPairwise
mcalinfct MCA multiple comparisons analysis (pairwise)
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
partial.corr partial correlations
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.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
perspPlane Helper functions for regr2.plot
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
panel.likert Panel functions for likert that include a stackWidth argument
panel.isomeans isomeans grid for MMC plots.
npar.arma Count the number of parameters in an ARIMA model specification.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
print.latticeresids Print a latticeresids object.
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.
residual.plots Residual plots for a linear model.
panel.acf Panel functions for tsdiagplot.
panel.axis.right Right-justify right-axis tick labels.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
plot.hov Homogeneity of Variance Plot
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.
norm.curve plot a normal or a t-curve with both x and z axes.
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
NormalAndTPower Construct a power graph based on the NTplot.
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.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
rbind.trellis Extend matrix reshaping functions to trellis objects.
pyramidLikert Print a Likert plot as a Population Triangle
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
vif Calculate the Variance Inflation Factor
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
X.residuals Residuals from the regression of each column of a data.frame against all the other 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.
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
panel.ci.plot Default Panel Function for ci.plot
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
print.tsdiagplot Print a "tsdiagplot" object.
tsacfplots Coordinated time series and ACF and PCF plots.
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
seqplot.forecast seqplot with confidence bands for the forecast region.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
panel.bwplot.intermediate.hh Panel functions for bwplot.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
multicomp.order Update a multicomp object by ordering its contrasts.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
panel.xysplom panel method for xysplom.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
resid.squares plot squared residuals in inches to match the y-dimension
seqplot Time series plot.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
ancovaplot Analysis of Covariance Plots
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
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Type Package
Date 2017-01-18
License GPL (>= 2)
NeedsCompilation no
Packaged 2017-01-18 14:33:41 UTC; rmh
Repository CRAN
Date/Publication 2017-01-18 18:07:11

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