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HH (version 2.1-7)

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

7,257

Version

2.1-7

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-7)

HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
panel.bwplot.intermediate.hh

Panel functions for bwplot.
ladder

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
ancova-class

Class "ancova" Analysis of Covariance
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.
seqplot.forecast

seqplot with confidence bands for the forecast region.
panel.xysplom

panel method for xysplom.
hh

Resolve filenames relative to the HH directory.
plot.multicomp

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
export.eps

Exports a graph to an EPS file.
F.curve

plot a chisquare or a F-curve.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
col.hh

Initializing Trellis Displays
residual.plots

Residual plots for a linear model.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
positioned-class

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

Time series plot.
dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
panel.pairs.hh

Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
partial.corr

partial correlations
grid.yaxis.hh

make x- and y-axis labels
diag.maybe.null

Returns a value for the diagonal of NA and NULL arguments.
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
panel.cartesian

trellis panel function, with labeled rows and columns and without strip labels.
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
X.residuals

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

Analysis of variance from sufficient statistics for groups.
axis.i2wt

specialized axis function for interaction2wt.
objip

loop through all attached directories looking for pattern
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
panel.ci.plot

Default Panel Function for ci.plot
mcalinfct

MCA multiple comparisons analysis (pairwise)
ancova

Compute and plot oneway analysis of covariance
multicomp.order

Update a multicomp object by ordering its contrasts.
hov

Homogeneity of Variance
legendGrob2wt

place separate keys to the left of each row of a trellis
ci.plot

Plot confidence and prediction intervals for simple linear regression
regr2.plot

3D plot of z against x and y, with regression plane fit and display of squared residuals.
resid.squares

plot squared residuals in inches to match the y-dimension
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
arima.diag.hh

Repair design error in S-Plus arima.diag
print.tsdiagplot

Print a "tsdiagplot" object.
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
interaction.positioned

interaction method for positioned factors.
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
plot.hov

Homogeneity of Variance Plot
extra

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
tsacfplots

Coordinated time series and ACF and PCF plots.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
panel.interaction2wt

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

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

case statistics for regression analysis
mmc

MMC (mean--mean multiple comparisons) plots.
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
bwplot.formula

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

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
mmc.mean

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

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

Conditional Execution for R or S-Plus
panel.acf

Panel functions for tsdiagplot.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
odds.ratio

Calculate or plot the odds ratio for a 2x2 table of counts.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
norm.curve

plot a normal or a t-curve with both x and z axes.
persp.plane

Helper functions for regr2.plot
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.
strip.xysplom

strip function that is able to place the correlation or regression coefficient into the strip label.
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.
t.trellis

Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
vif

Calculate the Variance Inflation Factor
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
xysplom

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