HH v2.1-12

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

Type Package
Date 2008-04-18
DependsSplus
License GPL (>= 2)
Packaged Fri Apr 18 00:43:09 2008; rmh

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