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HH (version 2.1-23)

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

2.1-23

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-23)

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.
panel.acf

Panel functions for tsdiagplot.
HH-package

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

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

Compute and plot oneway analysis of covariance
ancova-class

Class "ancova" Analysis of Covariance
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
panel.cartesian

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

Helper functions for regr2.plot
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
logit

Logistic function and its inverse.
mcalinfct

MCA multiple comparisons analysis (pairwise)
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
odds.ratio

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

Homogeneity of Variance Plot
seqplot.forecast

seqplot with confidence bands for the forecast region.
glht.mcp.993

Retain averaging behavior that was previously available in glht.
dchisq.intermediate

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

make x- and y-axis labels
arima.diag.hh

Repair design error in S-Plus arima.diag
intxplot

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

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
plot.mmc.multicomp

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

Default Panel Function for ci.plot
export.eps

Exports a graph to an EPS file.
partial.corr

partial correlations
panel.pairs.hh

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

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

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

Resolve filenames relative to the HH directory.
axis.i2wt

specialized axis function for interaction2wt.
diag.maybe.null

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

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

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

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

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

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

Analysis of variance from sufficient statistics for groups.
multicomp.order

Update a multicomp object by ordering its contrasts.
norm.curve

plot a normal or a t-curve with both x and z axes.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
hov

Homogeneity of Variance
objip

loop through all attached directories looking for pattern
ci.plot

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

Evaluate lm model with highest adjusted $R^2$.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
legendGrob2wt

place separate keys to the left of each row of a trellis
regr2.plot

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

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

panel method for xysplom.
print.tsdiagplot

Print a "tsdiagplot" object.
interaction2wt

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

Dotplot with evenly spaced tiebreakers.
resid.squares

plot squared residuals in inches to match the y-dimension
mmc

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

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

Residual plots for a linear model.
summary.arma.loop

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

Coordinated time series and ACF and PCF plots.
interaction.positioned

interaction method for positioned factors.
HH_regsubsets

Display tabular results for Best Subsets Regression.
if.R

Conditional Execution for R or S-Plus
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.
col.hh

Initializing Trellis Displays
panel.bwplot.intermediate.hh

Panel functions for bwplot.
lm.case

case statistics for regression analysis
npar.arma

Count the number of parameters in an ARIMA model specification.
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.
strip.xysplom

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

Calculate the Variance Inflation Factor
t.trellis

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

Time series plot.
gof.calculation

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