HH v2.1-16

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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
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
anova.mean ANOVA table from the group sample sizes, means, and standard deviations.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
arima.diag.hh Repair design error in S-Plus arima.diag
interaction.positioned interaction method for positioned factors.
extra Miscellaneous functions that I wish were in or consistent between S-Plus and R.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
if.R Conditional Execution for R or S-Plus
legendGrob2wt place separate keys to the left of each row of a trellis
intxplot Interaction plot, with an option to print standard error bars.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
axis.i2wt specialized axis function for interaction2wt.
mcalinfct MCA multiple comparisons analysis (pairwise)
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
panel.ci.plot Default Panel Function for ci.plot
export.eps Exports a graph to an EPS file.
arma.loop Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
interaction2wt Plot all main effects and twoway interactions in a multifactor design
mmc.mean MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
aov.sufficient Analysis of variance from sufficient statistics for groups.
npar.arma Count the number of parameters in an ARIMA model specification.
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
panel.bwplot.intermediate.hh Panel functions for bwplot.
panel.xysplom panel method for xysplom.
HH_regsubsets Display tabular results for Best Subsets Regression.
hh Resolve filenames relative to the HH directory.
hov Homogeneity of Variance
objip loop through all attached directories looking for pattern
grid.yaxis.hh make x- and y-axis labels
F.curve plot a chisquare or a F-curve.
panel.acf Panel functions for tsdiagplot.
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
partial.corr partial correlations
persp.plane Helper functions for regr2.plot
print.tsdiagplot Print a "tsdiagplot" object.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
seqplot Time series plot.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
norm.curve plot a normal or a t-curve with both x and z axes.
tsacfplots Coordinated time series and ACF and PCF plots.
vif Calculate the Variance Inflation Factor
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
multicomp.order Update a multicomp object by ordering its contrasts.
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.
glht.mcp.993 Retain averaging behavior that was previously available in glht.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
ci.plot Plot confidence and prediction intervals for simple linear regression
t.trellis Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
ancova-class Class "ancova" Analysis of Covariance
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
mmc MMC (mean--mean multiple comparisons) 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.bwplott Extension to S-Plus trellis to allow transposed plots.
col.hh Initializing Trellis Displays
strip.xysplom strip function that is able to place the correlation or regression coefficient into the strip label.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
plot.hov Homogeneity of Variance Plot
resid.squares plot squared residuals in inches to match the y-dimension
ancova Compute and plot oneway analysis of covariance
lm.case case statistics for regression analysis
odds.ratio Calculate or plot the odds ratio for a 2x2 table of counts.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
seqplot.forecast seqplot with confidence bands for the forecast region.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
residual.plots Residual plots for a linear model.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
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Details

Type Package
Date 2008-11-16
DependsSplus
License GPL (>= 2)
Packaged Sun Nov 16 15:53:40 2008; rmh

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