# HH v2.1-9

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