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Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt 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
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
objip loop through all attached directories looking for pattern
anova.mean ANOVA table from the group sample sizes, means, and standard deviations.
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
hh Resolve filenames relative to the HH directory.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
lm.case case statistics for regression analysis
panel.bwplot.hh Panel functions for bwplot.
if.R Conditional Execution for R or S-Plus
col.hh Initializing Trellis Displays
panel.xysplom panel method for xysplom.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
panel.ci.plot Default Panel Function for ci.plot
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
hov Homogeneity of Variance
simint.mmc MMC (mean--mean multiple comparisons) plots.
vif Calculate the Variance Inflation Factor
grid.yaxis.hh make x- and y-axis labels
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
simint.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object.
norm.curve plot a normal curve with both x and z axes.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
partial.corr partial correlations
export.eps Exports a graph to an EPS file.
plot.hov Homogeneity of Variance Plot
multicomp.order Update a multicomp object by ordering its contrasts.
ci.plot Plot confidence and prediction intervals for simple linear regression
simint.reverse Force all comparisons in a "hmtest" from simint to have the same sign.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
resid.squares plot squared residuals in inches to match the y-dimension
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
ancova Compute and plot oneway analysis of covariance
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
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Details

Type Package
Date 2006-08-21
License GPL version 2 or newer
Packaged Sun Sep 3 17:44:32 2006; rmh

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