# HH v2.1-24

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