# HH v2.2-17

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