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HH (version 1.18-1)

Statistical Analysis and Data Display: Heiberger and Holland

Description

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.

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Version

Install

install.packages('HH')

Monthly Downloads

5,991

Version

1.18-1

License

GPL version 2 or newer

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (1.18-1)

X.residuals

Residuals from the regression of each column of a data.frame against all the other columns.
mcalinfct

MCA multiple comparisons analysis (pairwise)
positioned-class

Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
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.
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
ancova

Compute and plot oneway analysis of covariance
ancova-class

Class "ancova" Analysis of Covariance
if.R

Conditional Execution for R or S-Plus
interaction.positioned

interaction method for positioned factors.
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.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
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.
mmc

MMC (mean--mean multiple comparisons) plots.
hov

Homogeneity of Variance
plot.hov

Homogeneity of Variance Plot
multicomp.order

Update a multicomp object by ordering its contrasts.
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.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
mmc.mean

MMC (mean--mean multiple comparisons) plots from the sufficient statistics for a one-way design.
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
partial.corr

partial correlations
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
objip

loop through all attached directories looking for pattern
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
bwplot.formula

Replacement for bwplot.formula and compute.packet in R to allow them to work with the new "positioned" class.
ladder

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
norm.curve

plot a normal or a t-curve with both x and z axes.
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
push.vp.hh

push and pop a grid viewport, turn clipping off, change scale.
odds.ratio

Calculate or plot the odds ratio for a 2x2 table of counts.
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.
t.trellis

Interchange the x- and y-axes for an S-Plus trellis object. Identity function for an R lattice object.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
orthog.complete

Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of columns.
vif

Calculate the Variance Inflation Factor
panel.xysplom

panel method for xysplom.
panel.ci.plot

Default Panel Function for ci.plot
plot.multicomp

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
grid.yaxis.hh

make x- and y-axis labels
ci.plot

Plot confidence and prediction intervals for simple linear regression
lm.case

case statistics for regression analysis
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
residual.plots

Residual plots for a linear model.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
panel.cartesian

trellis panel function, with labeled rows and columns and without strip labels.
resid.squares

plot squared residuals in inches to match the y-dimension
col.hh

Initializing Trellis Displays
hh

Resolve filenames relative to the HH directory.
intxplot

Interaction plot, with an option to print standard error bars.