# HH v1.18-1

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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 X.residuals Residuals from the regression of each column of a data.frame against all the other columns. mcalinfct MCA multiple comparisons analysis (pairwise) positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor. 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. GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet ancova Compute and plot oneway analysis of covariance ancova-class Class "ancova" Analysis of Covariance if.R Conditional Execution for R or S-Plus interaction.positioned interaction method for positioned factors. panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design anova.mean ANOVA table from the group sample sizes, means, and standard deviations. panel.bwplot.intermediate.hh Panel functions for bwplot. export.eps Exports a graph to an EPS file. panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments. mmc MMC (mean--mean multiple comparisons) plots. hov Homogeneity of Variance plot.hov Homogeneity of Variance Plot multicomp.order Update a multicomp object by ordering its contrasts. 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. panel.bwplott Extension to S-Plus trellis to allow transposed plots. mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design. xysplom scatterplot matrix with potentially different sets of variables on the rows and columns. HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland partial.corr partial correlations interaction2wt Plot all main effects and twoway interactions in a multifactor design objip loop through all attached directories looking for pattern strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label. regr1.plot plot x and y, with optional straight line fit and display of squared residuals bwplot.formula Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class. ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x. norm.curve plot a normal or a t-curve with both x and z axes. multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign. push.vp.hh push and pop a grid viewport, turn clipping off, change scale. odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts. 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. t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object. as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots. orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns. vif Calculate the Variance Inflation Factor panel.xysplom panel method for xysplom. panel.ci.plot Default Panel Function for ci.plot plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons. grid.yaxis.hh make x- and y-axis labels ci.plot Plot confidence and prediction intervals for simple linear regression lm.case case statistics for regression analysis plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot. residual.plots Residual plots for a linear model. do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots panel.cartesian trellis panel function, with labeled rows and columns and without strip labels. resid.squares plot squared residuals in inches to match the y-dimension col.hh Initializing Trellis Displays hh Resolve filenames relative to the HH directory. intxplot Interaction plot, with an option to print standard error bars. No Results!