# HH v2.1-5

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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. positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. hov Homogeneity of Variance gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus. do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots seqplot Time series plot. 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. tsdiagplot Times series diagnostic plots for a structured set of ARIMA models. bwplot.formula Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class. extra Miscellaneous functions that I wish were in or consistent between S-Plus and R. 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. grid.yaxis.hh make x- and y-axis labels mcalinfct MCA multiple comparisons analysis (pairwise) if.R Conditional Execution for R or S-Plus GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet panel.xysplom panel method for xysplom. 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 dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus. odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts. intxplot Interaction plot, with an option to print standard error bars. orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. interaction2wt Plot all main effects and twoway interactions in a multifactor design plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot. mmc MMC (mean--mean multiple comparisons) plots. persp.plane Helper functions for regr2.plot multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign. interaction.positioned interaction method for positioned factors. seqplot.forecast seqplot with confidence bands for the forecast region. panel.acf Panel functions for tsdiagplot. regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals. npar.arma Count the number of parameters in an ARIMA model specification. panel.bwplott Extension to S-Plus trellis to allow transposed plots. panel.dotplot.tb Dotplot with evenly spaced tiebreakers. export.eps Exports a graph to an EPS file. norm.curve plot a normal or a t-curve with both x and z axes. xysplom scatterplot matrix with potentially different sets of variables on the rows and columns. panel.cartesian trellis panel function, with labeled rows and columns and without strip labels. print.tsdiagplot Print a "tsdiagplot" object. lm.case case statistics for regression analysis col.hh Initializing Trellis Displays plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. objip loop through all attached directories looking for pattern partial.corr partial correlations vif Calculate the Variance Inflation Factor mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. push.vp.hh push and pop a grid viewport, turn clipping off, change scale. axis.i2wt specialized axis function for interaction2wt. hh Resolve filenames relative to the HH directory. panel.ci.plot Default Panel Function for ci.plot ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk arima.diag.hh Repair design error in S-Plus arima.diag X.residuals Residuals from the regression of each column of a data.frame against all the other columns. F.curve plot a chisquare or a F-curve. ancova-class Class "ancova" Analysis of Covariance regr1.plot plot x and y, with optional straight line 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 HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland resid.squares plot squared residuals in inches to match the y-dimension panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. tsacfplots Coordinated time series and ACF and PCF plots. ci.plot Plot confidence and prediction intervals for simple linear regression aov.sufficient Analysis of variance from sufficient statistics for groups. strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color. as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots. multicomp.order Update a multicomp object by ordering its contrasts. arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs. ancova Compute and plot oneway analysis of covariance legendGrob2wt place separate keys to the left of each row of a trellis diag.maybe.null Returns a value for the diagonal of NA and NULL arguments. residual.plots Residual plots for a linear model. panel.bwplot.intermediate.hh Panel functions for bwplot. summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects. No Results!