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HH (version 2.1-24)

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

10,133

Version

2.1-24

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 27th, 2022

Functions in HH (2.1-24)

anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
if.R

Conditional Execution for R or S-Plus
HH_regsubsets

Display tabular results for Best Subsets Regression.
panel.xysplom

panel method for xysplom.
aov.sufficient

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

specialized axis function for interaction2wt.
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
dchisq.intermediate

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

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
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
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
mcalinfct

MCA multiple comparisons analysis (pairwise)
panel.acf

Panel functions for tsdiagplot.
arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
summary.arma.loop

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

seqplot with confidence bands for the forecast region.
multicomp.order

Update a multicomp object by ordering its contrasts.
diag.maybe.null

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

Interaction plot, with an option to print standard error bars.
legendGrob2wt

place separate keys to the left of each row of a trellis
persp.plane

Helper functions for regr2.plot
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
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
ancova-class

Class "ancova" Analysis of Covariance
residual.plots

Residual plots for a linear model.
arima.diag.hh

Repair design error in S-Plus arima.diag
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.
glht.mcp.993

Retain averaging behavior that was previously available in glht.
gof.calculation

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

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

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

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

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
lm.case

case statistics for regression analysis
objip

loop through all attached directories looking for pattern
export.eps

Exports a graph to an EPS file.
interaction.positioned

interaction method for positioned factors.
F.curve

plot a chisquare or a F-curve.
hh

Resolve filenames relative to the HH directory.
ci.plot

Plot confidence and prediction intervals for simple linear regression
col.hh

Initializing Trellis Displays
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
panel.ci.plot

Default Panel Function for ci.plot
logit

Logistic function and its inverse.
ancova

Compute and plot oneway analysis of covariance
ladder

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

Extension to S-Plus trellis to allow transposed plots.
grid.yaxis.hh

make x- and y-axis labels
t.trellis

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

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

Coordinated time series and ACF and PCF plots.
push.vp.hh

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

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

Time series plot.
hov

Homogeneity of Variance
norm.curve

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

strip function that is able to place the correlation or regression coefficient into the strip label.
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
odds.ratio

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

partial correlations
plot.multicomp

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

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

Homogeneity of Variance Plot
vif

Calculate the Variance Inflation Factor
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.
orthog.complete

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

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

Print a "tsdiagplot" object.
mmc

MMC (mean--mean multiple comparisons) plots.