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HH (version 2.3-42)

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

2.3-42

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

October 1st, 2013

Functions in HH (2.3-42)

aovSufficient

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

Panel functions for tsdiagplot.
mmc

MMC (mean--mean multiple comparisons) plots.
F.curve

plot a chisquare or a F-curve.
LikertPercentCountColumns

Display likert plots with percents in the first column of panels and counts in the second column of panels.
orthog.complete

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

Defunct Functions in Package 'HH'
ResizeEtc

Display multiple independent trellis objects on the same coordinated scale.
ancova-class

Class "ancova" Analysis of Covariance
AEdotplot

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

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

Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
cp.calc

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
grid.yaxis.hh

make x- and y-axis labels
X.residuals

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

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

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

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

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

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

interaction method for positioned factors.
export.eps

Exports a graph to an EPS file.
GSremove

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
panel.bwplot.intermediate.hh

Panel functions for bwplot.
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
arima.diag.hh

Repair design error in S-Plus arima.diag
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
legendGrob2wt

place separate keys to the left of each row of a trellis
ae.dotplot

AE (Adverse Events) dotplot of incidence and relative risk
as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix
as.likert

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

Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
as.multicomp

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

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

MCA multiple comparisons analysis (pairwise)
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
axis.i2wt

specialized axis function for interaction2wt.
extra

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

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

Compute and plot oneway analysis of covariance
partial.corr

partial correlations
print.tsdiagplot

Print a "tsdiagplot" object.
panel.xysplom

panel method for xysplom.
print.TwoTrellisColumns

Print two conformable trellis plots in adjacent columns with user control of widths.
seqplot

Time series plot.
if.R

Conditional Execution for R or S-Plus
ladder

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

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

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

Resolve filenames relative to the HH directory.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
multicomp.order

Update a multicomp object by ordering its contrasts.
ci.plot

Plot confidence and prediction intervals for simple linear regression
likertColor

Selection of colors for Likert plots.
col.hh

Initializing Trellis Displays
panel.interaction2wt

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

Right-justify right-axis tick labels.
regr2.plot

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

loop through all attached directories looking for pattern
logit

Logistic function and its inverse.
panel.ci.plot

Default Panel Function for ci.plot
likertMosaic

Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
residual.plots

Residual plots for a linear model.
plot.multicomp

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

Extension to S-Plus trellis to allow transposed plots.
HH.regsubsets

Display tabular results for Best Subsets Regression.
dchisq.intermediate

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

plot squared residuals in inches to match the y-dimension
regr1.plot

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

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
strip.background0

Turn off the coloring in the trellis strip labels. Color 0 is the background color.
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
AEdotplot.data.frame

AE (Adverse Events) dotplot of incidence and relative risk, support functions
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
norm.curve

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

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

Times series diagnostic plots for a structured set of ARIMA models.
arma.loop

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

Calculate the Variance Inflation Factor
plot.mmc.multicomp

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

Panel functions for likert that include a stackWidth argument
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
push.vp.hh

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

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

Helper functions for regr2.plot
plot.hov

Homogeneity of Variance Plot
gof.calculation

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

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

Homogeneity of Variance
mmc.mean

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

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

Print a Likert plot as a Population Triangle
t.trellis

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

seqplot with confidence bands for the forecast region.
lm.case

case statistics for regression analysis