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HH (version 2.1-30)

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

2.1-30

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

August 19th, 2009

Functions in HH (2.1-30)

arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
diag.maybe.null

Returns a value for the diagonal of NA and NULL arguments.
grid.yaxis.hh

make x- and y-axis labels
col.hh

Initializing Trellis Displays
dchisq.intermediate

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

Extension to S-Plus trellis to allow transposed plots.
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
F.curve

plot a chisquare or a F-curve.
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.
gof.calculation

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

interaction method for positioned factors.
mmc.mean

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

Update a multicomp object by ordering its contrasts.
push.vp.hh

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

specialized axis function for interaction2wt.
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
resid.squares

plot squared residuals in inches to match the y-dimension
positioned-class

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

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

partial correlations
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
panel.cartesian

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

seqplot with confidence bands for the forecast region.
print.tsdiagplot

Print a "tsdiagplot" object.
lm.case

case statistics for regression analysis
norm.curve

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

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

Resolve filenames relative to the HH directory.
panel.acf

Panel functions for tsdiagplot.
GSremove

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

MCA multiple comparisons analysis (pairwise)
plot.multicomp

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
glht.mcp.993

Retain averaging behavior that was previously available in glht.
seqplot

Time series plot.
lmatRows

Find the row numbers in the lmat corresponding to the focus factor.
if.R

Conditional Execution for R or S-Plus
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
panel.xysplom

panel method for xysplom.
residual.plots

Residual plots for a linear model.
tsacfplots

Coordinated time series and ACF and PCF plots.
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
plot.hov

Homogeneity of Variance 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.
orthog.complete

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

Logistic function and its inverse.
hov

Homogeneity of Variance
xysplom

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

Analysis of variance from sufficient statistics for groups.
extra

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
panel.ci.plot

Default Panel Function for ci.plot
ancova

Compute and plot oneway analysis of covariance
odds.ratio

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

MMC (mean--mean multiple comparisons) plots.
HH_regsubsets

Display tabular results for Best Subsets Regression.
regr2.plot

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

Helper functions for regr2.plot
npar.arma

Count the number of parameters in an ARIMA model specification.
legendGrob2wt

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

Plot confidence and prediction intervals for simple linear regression
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
multicomp.reverse

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

Calculate the Variance Inflation Factor
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
as.multicomp

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

loop through all attached directories looking for pattern
panel.pairs.hh

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

Interchange the x- and y-axes for an S-Plus trellis object. Interchange the conditioning variables for an R trellis object.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
export.eps

Exports a graph to an EPS file.
intxplot

Interaction plot, with an option to print standard error bars.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
strip.xysplom

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