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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.
HH.regsubsets Display tabular results for Best Subsets Regression.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
defunct Defunct Functions in Package 'HH'
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
ancova-class Class "ancova" Analysis of Covariance
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
ancova Compute and plot oneway analysis of covariance
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a 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.
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
diagQQ QQ plot of regression residuals.
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
HH-package HH
col.hh Initializing Trellis Displays
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
ci.plot Plot confidence and prediction intervals for simple linear regression
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
ancovaplot Analysis of Covariance Plots
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
arima.diag.hh Repair design error in S-Plus arima.diag
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
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.
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.
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.
grid.yaxis.hh make x- and y-axis labels
export.eps Exports a graph to an EPS file.
intxplot Interaction plot, with an option to print standard error bars.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
if.R Conditional Execution for R or S-Plus
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
lmplot Four types of residual plots for linear models.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
interaction.positioned interaction method for positioned factors.
extra
mmc MMC (Mean--mean Multiple Comparisons) plots.
axis.i2wt specialized axis function for interaction2wt.
panel.acf Panel functions for tsdiagplot.
mcalinfct MCA multiple comparisons analysis (pairwise)
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
CIplot Illustration of the meaning of confidence levels.
npar.arma Count the number of parameters in an ARIMA model specification.
Discrete4 Discrete with four levels color dataset.
mmcAspect Control aspect ratio in MMC plots to maintain isomeans grid as a square.
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
panel.ci.plot Default Panel Function for ci.plot
mmcPruneIsomeans MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
mmcisomeans Functions used by mmcplot.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
pdiscunif Discrete Uniform Distribution
lm.case case statistics for regression analysis
partial.corr partial correlations
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
panel.isomeans isomeans grid for MMC plots.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
panel.axis.right Right-justify right-axis tick labels.
panel.bwplot.intermediate.hh Panel functions for bwplot.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
norm.curve plot a normal or a t-curve with both x and z axes.
hov Homogeneity of Variance
hovBF Homogeneity of Variance: Brown--Forsyth method
logit Logistic and odds functions and their inverses.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
panel.likert Panel functions for likert that include a stackWidth argument
lmatPairwise lmatPairwise
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
multicomp.order Update a multicomp object by ordering its contrasts.
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
perspPlane Helper functions for regr2.plot
pyramidLikert Print a Likert plot as a Population Triangle
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.
rbind.trellis Extend matrix reshaping functions to trellis objects.
print.TwoTrellisColumns Print two conformable trellis plots in adjacent columns with user control of widths.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
print.latticeresids Print a latticeresids object.
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
seqplot Time series plot.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
col3x2 col3x2 color dataset
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
panel.bwplot.superpose Panel function for bwplot that displays an entire box in the colors coded by groups.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
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.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
residVSfitted Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
interaction2wt Plot all main effects and twoway interactions in a multifactor design
residual.plots Residual plots for a linear model.
vif Calculate the Variance Inflation 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.
resid.squares plot squared residuals in inches to match the y-dimension
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.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
interval Prediction and Confidence Intervals for glm Objects
latticeresids Subroutine used by residual.plots.lattice
legendGrob2wt place separate keys to the left of each row of a trellis
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
panel.xysplom panel method for xysplom.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
plot.hov Homogeneity of Variance Plot
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
seqplot.forecast seqplot with confidence bands for the forecast region.
print.tsdiagplot Print a "tsdiagplot" object.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
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
strip.useOuterStrips.first Functions based on strip.default for use with the useOuterScales function.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
useOuterStripsT2L1 Three-factor generalization of latticeExtra::useOuterStrips
tsacfplots Coordinated time series and ACF and PCF plots.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
likertColor Selection of colors for Likert plots.
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Type Package
Date 2020-09-07
License GPL (>= 2)
NeedsCompilation no
Packaged 2020-09-07 02:53:18 UTC; rmh
Repository CRAN
Date/Publication 2020-09-07 10:20:28 UTC

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