HH v2.3-36

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

Type Package
Date 2013-03-07
License GPL (>= 2)
Packaged 2013-03-07 15:45:48 UTC; rmh
NeedsCompilation no
Repository CRAN
Date/Publication 2013-03-07 17:03:33

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