# HH v2.1-32

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