# HH v2.1-15

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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 ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk ancova-class Class "ancova" Analysis of Covariance F.curve plot a chisquare or a F-curve. ancova Compute and plot oneway analysis of covariance grid.yaxis.hh make x- and y-axis labels aov.sufficient Analysis of variance from sufficient statistics for groups. arima.diag.hh Repair design error in S-Plus arima.diag col.hh Initializing Trellis Displays ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. npar.arma Count the number of parameters in an ARIMA model specification. hh Resolve filenames relative to the HH directory. panel.acf Panel functions for tsdiagplot. intxplot Interaction plot, with an option to print standard error bars. GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet hov Homogeneity of Variance panel.xysplom panel method for xysplom. axis.i2wt specialized axis function for interaction2wt. HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland panel.dotplot.tb Dotplot with evenly spaced tiebreakers. ci.plot Plot confidence and prediction intervals for simple linear regression dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus. X.residuals Residuals from the regression of each column of a data.frame against all the other columns. extra Miscellaneous functions that I wish were in or consistent between S-Plus and R. diag.maybe.null Returns a value for the diagonal of NA and NULL arguments. legendGrob2wt place separate keys to the left of each row of a trellis as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots. if.R Conditional Execution for R or S-Plus anova.mean ANOVA table from the group sample sizes, means, and standard deviations. mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. objip loop through all attached directories looking for pattern norm.curve plot a normal or a t-curve with both x and z axes. interaction2wt Plot all main effects and twoway interactions in a multifactor design partial.corr partial correlations multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign. interaction.positioned interaction method for positioned factors. 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. odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts. mcalinfct MCA multiple comparisons analysis (pairwise) glht.mcp.993 Retain averaging behavior that was previously available in glht. export.eps Exports a graph to an EPS file. panel.bwplott Extension to S-Plus trellis to allow transposed plots. arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. vif Calculate the Variance Inflation Factor print.tsdiagplot Print a "tsdiagplot" object. residual.plots Residual plots for a linear model. strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color. panel.cartesian trellis panel function, with labeled rows and columns and without strip labels. strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label. push.vp.hh push and pop a grid viewport, turn clipping off, change scale. mmc MMC (mean--mean multiple comparisons) plots. t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object. 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. regr1.plot plot x and y, with optional straight line fit and display of squared residuals plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot. panel.bwplot.intermediate.hh Panel functions for bwplot. seqplot.forecast seqplot with confidence bands for the forecast region. panel.ci.plot Default Panel Function for ci.plot regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals. plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design lm.case case statistics for regression analysis tsacfplots Coordinated time series and ACF and PCF plots. seqplot Time series plot. xysplom scatterplot matrix with potentially different sets of variables on the rows and columns. tsdiagplot Times series diagnostic plots for a structured set of ARIMA models. 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. resid.squares plot squared residuals in inches to match the y-dimension plot.hov Homogeneity of Variance Plot summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects. persp.plane Helper functions for regr2.plot No Results!