# HH v3.1-40

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