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HH (version 2.1-5)

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

6,252

Version

2.1-5

License

GPL version 2 or newer

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-5)

anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
positioned-class

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

Homogeneity of Variance
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
seqplot

Time series 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.
tsdiagplot

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

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

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

make x- and y-axis labels
mcalinfct

MCA multiple comparisons analysis (pairwise)
if.R

Conditional Execution for R or S-Plus
GSremove

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

panel method for xysplom.
strip.xysplom

strip function that is able to place the correlation or regression coefficient into the strip label.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
odds.ratio

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

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

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

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
mmc

MMC (mean--mean multiple comparisons) plots.
persp.plane

Helper functions for regr2.plot
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
interaction.positioned

interaction method for positioned factors.
seqplot.forecast

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

Panel functions for tsdiagplot.
regr2.plot

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

Count the number of parameters in an ARIMA model specification.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
export.eps

Exports a graph to an EPS file.
norm.curve

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

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

trellis panel function, with labeled rows and columns and without strip labels.
print.tsdiagplot

Print a "tsdiagplot" object.
lm.case

case statistics for regression analysis
col.hh

Initializing Trellis Displays
plot.multicomp

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

loop through all attached directories looking for pattern
partial.corr

partial correlations
vif

Calculate the Variance Inflation Factor
mmc.mean

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

push and pop a grid viewport, turn clipping off, change scale.
axis.i2wt

specialized axis function for interaction2wt.
hh

Resolve filenames relative to the HH directory.
panel.ci.plot

Default Panel Function for ci.plot
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
arima.diag.hh

Repair design error in S-Plus arima.diag
X.residuals

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

plot a chisquare or a F-curve.
ancova-class

Class "ancova" Analysis of Covariance
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.
plot.hov

Homogeneity of Variance Plot
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
resid.squares

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

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

Coordinated time series and ACF and PCF plots.
ci.plot

Plot confidence and prediction intervals for simple linear regression
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.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
multicomp.order

Update a multicomp object by ordering its contrasts.
arma.loop

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

Compute and plot oneway analysis of covariance
legendGrob2wt

place separate keys to the left of each row of a trellis
diag.maybe.null

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

Residual plots for a linear model.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
summary.arma.loop

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