# HH v2.1-13

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## Statistical Analysis and Data Display: Heiberger and Holland

Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data---showing code, graphics, and accompanying computer listings---for all the methods they cover. They 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.

## Functions in HH

 Name Description axis.i2wt specialized axis function for interaction2wt. 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. HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland interaction2wt Plot all main effects and twoway interactions in a multifactor design lm.case case statistics for regression analysis strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color. panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object. objip loop through all attached directories looking for pattern aov.sufficient Analysis of variance from sufficient statistics for groups. grid.yaxis.hh make x- and y-axis labels anova.mean ANOVA table from the group sample sizes, means, and standard deviations. arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. diag.maybe.null Returns a value for the diagonal of NA and NULL arguments. plot.hov Homogeneity of Variance Plot glht.mcp.993 Retain averaging behavior that was previously available in glht. ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. partial.corr partial correlations intxplot Interaction plot, with an option to print standard error bars. tsdiagplot Times series diagnostic plots for a structured set of ARIMA models. X.residuals Residuals from the regression of each column of a data.frame against all the other columns. xysplom scatterplot matrix with potentially different sets of variables on the rows and columns. dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus. seqplot.forecast seqplot with confidence bands for the forecast region. ancova Compute and plot oneway analysis of covariance as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots. tsacfplots Coordinated time series and ACF and PCF plots. gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. arima.diag.hh Repair design error in S-Plus arima.diag export.eps Exports a graph to an EPS file. panel.bwplot.intermediate.hh Panel functions for bwplot. panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. F.curve plot a chisquare or a F-curve. regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals. ancova-class Class "ancova" Analysis of Covariance panel.acf Panel functions for tsdiagplot. odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts. persp.plane Helper functions for regr2.plot push.vp.hh push and pop a grid viewport, turn clipping off, change scale. strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label. 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. ci.plot Plot confidence and prediction intervals for simple linear regression resid.squares plot squared residuals in inches to match the y-dimension legendGrob2wt place separate keys to the left of each row of a trellis col.hh Initializing Trellis Displays seqplot Time series plot. panel.xysplom panel method for xysplom. positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. mmc MMC (mean--mean multiple comparisons) plots. summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects. hh Resolve filenames relative to the HH directory. GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot. npar.arma Count the number of parameters in an ARIMA model specification. if.R Conditional Execution for R or S-Plus multicomp.order Update a multicomp object by ordering its contrasts. print.tsdiagplot Print a "tsdiagplot" object. panel.ci.plot Default Panel Function for ci.plot residual.plots Residual plots for a linear model. panel.bwplott Extension to S-Plus trellis to allow transposed plots. norm.curve plot a normal or a t-curve with both x and z axes. multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign. hov Homogeneity of Variance mcalinfct MCA multiple comparisons analysis (pairwise) extra Miscellaneous functions that I wish were in or consistent between S-Plus and R. panel.dotplot.tb Dotplot with evenly spaced tiebreakers. regr1.plot plot x and y, with optional straight line fit and display of squared residuals do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots panel.cartesian trellis panel function, with labeled rows and columns and without strip labels. vif Calculate the Variance Inflation Factor plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. interaction.positioned interaction method for positioned factors. 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