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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
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
axis.i2wt specialized axis function for interaction2wt.
col.hh Initializing Trellis Displays
ancova Compute and plot oneway analysis of covariance
arima.diag.hh Repair design error in S-Plus arima.diag
interaction2wt Plot all main effects and twoway interactions in a multifactor design
aov.sufficient Analysis of variance from sufficient statistics for groups.
HH_regsubsets Display tabular results for Best Subsets Regression.
glht.mcp.993 Retain averaging behavior that was previously available in glht.
intxplot Interaction plot, with an option to print standard error bars.
hh Resolve filenames relative to the HH directory.
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.
interaction.positioned interaction method for positioned factors.
print.tsdiagplot Print a "tsdiagplot" object.
multicomp.order Update a multicomp object by ordering its contrasts.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
mcalinfct MCA multiple comparisons analysis (pairwise)
panel.xysplom panel method for xysplom.
lm.case case statistics for regression analysis
panel.bwplott Extension to S-Plus trellis to allow transposed plots.
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.
panel.bwplot.intermediate.hh Panel functions for bwplot.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
logit Logistic function and its inverse.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
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.
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.
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
panel.acf Panel functions for tsdiagplot.
npar.arma Count the number of parameters in an ARIMA model specification.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
HH-package Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
persp.plane Helper functions for regr2.plot
resid.squares plot squared residuals in inches to match the y-dimension
if.R Conditional Execution for R or S-Plus
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
seqplot Time series plot.
seqplot.forecast seqplot with confidence bands for the forecast region.
mmc MMC (mean--mean multiple comparisons) plots.
vif Calculate the Variance Inflation Factor
hov Homogeneity of Variance
legendGrob2wt place separate keys to the left of each row of a trellis
grid.yaxis.hh make x- and y-axis labels
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
F.curve plot a chisquare or a F-curve.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
plot.hov Homogeneity of Variance Plot
ancova-class Class "ancova" Analysis of Covariance
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
partial.corr partial correlations
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
objip loop through all attached directories looking for pattern
panel.ci.plot Default Panel Function for ci.plot
tsacfplots Coordinated time series and ACF and PCF plots.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
residual.plots Residual plots for a linear model.
ae.dotplot AE (Adverse Events) dotplot of incidence and relative risk
anova.mean ANOVA table from the group sample sizes, means, and standard deviations.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
norm.curve plot a normal or a t-curve with both x and z axes.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
ci.plot Plot confidence and prediction intervals for simple linear regression
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
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Details

Type Package
Date 2009-05-27
DependsSplus
License GPL (>= 2)
Packaged Wed May 27 17:40:57 2009; rmh28285
Repository CRAN
Date/Publication 2009-05-28 07:12:44

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