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HH (version 2.1-12)

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

2.1-12

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-12)

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.