HH v2.1-23


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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.
F.curve plot a chisquare or a F-curve.
panel.acf Panel functions for tsdiagplot.
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
ancova Compute and plot oneway analysis of covariance
ancova-class Class "ancova" Analysis of Covariance
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
persp.plane Helper functions for regr2.plot
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
logit Logistic function and its inverse.
mcalinfct MCA multiple comparisons analysis (pairwise)
anova.mean ANOVA table from the group sample sizes, means, and standard deviations.
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
plot.hov Homogeneity of Variance Plot
seqplot.forecast seqplot with confidence bands for the forecast region.
glht.mcp.993 Retain averaging behavior that was previously available in glht.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
grid.yaxis.hh make x- and y-axis labels
arima.diag.hh Repair design error in S-Plus arima.diag
intxplot Interaction plot, with an option to print standard error bars.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
panel.ci.plot Default Panel Function for ci.plot
export.eps Exports a graph to an EPS file.
partial.corr partial correlations
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
hh Resolve filenames relative to the HH directory.
axis.i2wt specialized axis function for interaction2wt.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
aov.sufficient Analysis of variance from sufficient statistics for groups.
multicomp.order Update a multicomp object by ordering its contrasts.
norm.curve plot a normal or a t-curve with both x and z axes.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
hov Homogeneity of Variance
objip loop through all attached directories looking for pattern
ci.plot Plot confidence and prediction intervals for simple linear regression
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.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
legendGrob2wt place separate keys to the left of each row of a trellis
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
panel.xysplom panel method for xysplom.
print.tsdiagplot Print a "tsdiagplot" object.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
resid.squares plot squared residuals in inches to match the y-dimension
mmc MMC (mean--mean multiple comparisons) plots.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
residual.plots Residual plots for a linear model.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
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.
tsacfplots Coordinated time series and ACF and PCF plots.
interaction.positioned interaction method for positioned factors.
HH_regsubsets Display tabular results for Best Subsets Regression.
if.R Conditional Execution for R or S-Plus
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.
col.hh Initializing Trellis Displays
panel.bwplot.intermediate.hh Panel functions for bwplot.
lm.case case statistics for regression analysis
npar.arma Count the number of parameters in an ARIMA model specification.
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.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
vif Calculate the Variance Inflation Factor
t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
seqplot Time series plot.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
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Last month downloads


Type Package
Date 2009-01-05
License GPL (>= 2)
Packaged Mon Jan 5 09:44:14 2009; rmh

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