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HH (version 2.2-17)

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

7,301

Version

2.2-17

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

October 26th, 2011

Functions in HH (2.2-17)

arma.loop

Loop through a series of ARIMA models and display coordinated tables and diagnoastic graphs.
ancova-class

Class "ancova" Analysis of Covariance
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
HH-package

Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland
col.hh

Initializing Trellis Displays
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
emptyMainLeftAxisLeftStripBottomLegend

Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
dchisq.intermediate

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

Plot confidence and prediction intervals for simple linear regression
X.residuals

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

Homogeneity of Variance
as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix
export.eps

Exports a graph to an EPS file.
grid.yaxis.hh

make x- and y-axis labels
if.R

Conditional Execution for R or S-Plus
HH_regsubsets

Display tabular results for Best Subsets Regression.
panel.axis.right

Right-justify right-axis tick labels.
multicomp.reverse

Force all comparisons in a "multicomp" object to have the same sign.
diag.maybe.null

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

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

Logistic function and its inverse.
mcalinfct

MCA multiple comparisons analysis (pairwise)
extra

Miscellaneous functions that I wish were in or consistent between S-Plus and R.
legendGrob2wt

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

Default Panel Function for ci.plot
seqplot

Time series plot.
hh

Resolve filenames relative to the HH directory.
panel.xysplom

panel method for xysplom.
seqplot.forecast

seqplot with confidence bands for the forecast region.
resid.squares

plot squared residuals in inches to match the y-dimension
push.vp.hh

push and pop a grid viewport, turn clipping off, change scale.
positioned-class

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

partial correlations
tsacfplots

Coordinated time series and ACF and PCF plots.
ancova

Compute and plot oneway analysis of covariance
lm.case

case statistics for regression analysis
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.
arima.diag.hh

Repair design error in S-Plus arima.diag
aov.sufficient

Analysis of variance from sufficient statistics for groups.
panel.bwplott

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

Display multiple independent trellis objects on the same coordinated scale.
anova.mean

ANOVA table from the group sample sizes, means, and standard deviations.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
strip.xysplom

strip function that is able to place the correlation or regression coefficient into the strip label.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
axis.i2wt

specialized axis function for interaction2wt.
residual.plots

Residual plots for a linear model.
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.
norm.curve

plot a normal or a t-curve with both x and z axes.
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
regr2.plot

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

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

Homogeneity of Variance Plot
F.curve

plot a chisquare or a F-curve.
vif

Calculate the Variance Inflation Factor
multicomp.order

Update a multicomp object by ordering its contrasts.
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
print.tsdiagplot

Print a "tsdiagplot" object.
interaction2wt

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

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

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

Find the row numbers in the lmat corresponding to the focus factor.
persp.plane

Helper functions for regr2.plot
gof.calculation

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

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

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

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

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

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

loop through all attached directories looking for pattern
datasets

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
panel.bwplot.intermediate.hh

Panel functions for bwplot.
panel.acf

Panel functions for tsdiagplot.
mmc.mean

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

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

Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
orthog.complete

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

Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
interaction.positioned

interaction method for positioned factors.
plot.mmc.multicomp

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

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

Diverging stacked barcharts for Likert, semantic differential, and rating scale data.