# HH v2.1-7

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