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HH (version 2.1-28)

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

2.1-28

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

May 25th, 2009

Functions in HH (2.1-28)

dchisq.intermediate

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

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
ci.plot

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

Initializing Trellis Displays
push.vp.hh

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

Time series plot.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
diag.maybe.null

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

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
plot.mmc.multicomp

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

Panel functions for tsdiagplot.
mcalinfct

MCA multiple comparisons analysis (pairwise)
mmc

MMC (mean--mean multiple comparisons) plots.
panel.bwplott

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

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

Default Panel Function for ci.plot
print.tsdiagplot

Print a "tsdiagplot" object.
panel.pairs.hh

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

Exports a graph to an EPS file.
aov.sufficient

Analysis of variance from sufficient statistics for groups.
grid.yaxis.hh

make x- and y-axis labels
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
legendGrob2wt

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

Update a multicomp object by ordering its contrasts.
intxplot

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

Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
regr1.plot

plot x and y, with optional straight line 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.
partial.corr

partial correlations
residual.plots

Residual plots for a linear model.
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.
strip.xysplom

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

Panel functions for bwplot.
logit

Logistic function and its inverse.
arima.diag.hh

Repair design error in S-Plus arima.diag
regr2.plot

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

Homogeneity of Variance Plot
orthog.complete

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

case statistics for regression analysis
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
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.
panel.cartesian

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

interaction method for positioned factors.
persp.plane

Helper functions for regr2.plot
panel.xysplom

panel method for xysplom.
strip.background0

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

Calculate the Variance Inflation Factor
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.
axis.i2wt

specialized axis function for interaction2wt.
seqplot.forecast

seqplot with confidence bands for the forecast region.
lmatRows

Find the row numbers in the lmat corresponding to the focus factor.
HH_regsubsets

Display tabular results for Best Subsets Regression.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
F.curve

plot a chisquare or a F-curve.
if.R

Conditional Execution for R or S-Plus
npar.arma

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

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

Resolve filenames relative to the HH directory.
objip

loop through all attached directories looking for pattern
resid.squares

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

Homogeneity of Variance
tsacfplots

Coordinated time series and ACF and PCF plots.
multicomp.reverse

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

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

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

Compute and plot oneway analysis of covariance
glht.mcp.993

Retain averaging behavior that was previously available in glht.
norm.curve

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

Class "ancova" Analysis of Covariance
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design