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HH (version 2.1-15)

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

20,573

Version

2.1-15

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-15)

ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
ancova-class

Class "ancova" Analysis of Covariance
F.curve

plot a chisquare or a F-curve.
ancova

Compute and plot oneway analysis of covariance
grid.yaxis.hh

make x- and y-axis labels
aov.sufficient

Analysis of variance from sufficient statistics for groups.
arima.diag.hh

Repair design error in S-Plus arima.diag
col.hh

Initializing Trellis Displays
ladder

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

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
npar.arma

Count the number of parameters in an ARIMA model specification.
hh

Resolve filenames relative to the HH directory.
panel.acf

Panel functions for tsdiagplot.
intxplot

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

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

Homogeneity of Variance
panel.xysplom

panel method for xysplom.
axis.i2wt

specialized axis function for interaction2wt.
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
ci.plot

Plot confidence and prediction intervals for simple linear regression
dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
X.residuals

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

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

Returns a value for the diagonal of NA and NULL arguments.
legendGrob2wt

place separate keys to the left of each row of a trellis
as.multicomp

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

Conditional Execution for R or S-Plus
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
mmc.mean

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

loop through all attached directories looking for pattern
norm.curve

plot a normal or a t-curve with both x and z axes.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
partial.corr

partial correlations
multicomp.reverse

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

interaction method for positioned factors.
orthog.complete

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

Update a multicomp object by ordering its contrasts.
odds.ratio

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

MCA multiple comparisons analysis (pairwise)
glht.mcp.993

Retain averaging behavior that was previously available in glht.
export.eps

Exports a graph to an EPS file.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
panel.pairs.hh

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

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

Calculate the Variance Inflation Factor
print.tsdiagplot

Print a "tsdiagplot" object.
residual.plots

Residual plots for a linear model.
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
panel.cartesian

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

strip function that is able to place the correlation or regression coefficient into the strip label.
push.vp.hh

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

MMC (mean--mean multiple comparisons) plots.
t.trellis

Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
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.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
seqplot.forecast

seqplot with confidence bands for the forecast region.
panel.ci.plot

Default Panel Function for ci.plot
regr2.plot

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

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

case statistics for regression analysis
tsacfplots

Coordinated time series and ACF and PCF plots.
seqplot

Time series plot.
xysplom

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

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

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

Homogeneity of Variance Plot
summary.arma.loop

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

Helper functions for regr2.plot