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HH (version 3.1-19)

Statistical Analysis and Data Display: Heiberger and Holland

Description

Support software for Statistical Analysis and Data Display (First Edition, Springer, ISBN 0-387-40270-5, 2004) and (Second Edition, Springer, ISBN 978-1-4939-2121-8, anticipated 2015) by Richard M. Heiberger and Burt Holland. This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The second edition includes redesigned graphics and additional chapters. The authors 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. All functions introduced in the book are in the package. R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.

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Version

Install

install.packages('HH')

Monthly Downloads

5,991

Version

3.1-19

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

June 12th, 2015

Functions in HH (3.1-19)

ResizeEtc.likertPlot

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

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

Panel functions for likert that include a stackWidth argument
residVSfitted

Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
Discrete4

Discrete with four levels color dataset.
anovaMean

ANOVA table from the group sample sizes, means, and standard deviations.
as.matrix.listOfNamedMatrices

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

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

Time series plot.
positioned-class

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

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
as.vector.trellis

Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
diag.maybe.null

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

ANOVA table for a c("ancovaplot","trellis") object.
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.
grid.yaxis.hh

make x- and y-axis labels
col3x2

col3x2 color dataset
ancovaplot

Analysis of Covariance Plots
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
ancova-class

Class "ancova" Analysis of Covariance
AEdotplot.data.frame

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

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

Discrete Uniform Distribution
mcalinfct

MCA multiple comparisons analysis (pairwise)
LikertPercentCountColumns

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

Selection of colors for Likert plots.
lm.case

case statistics for regression analysis
panel.bwplott

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

Logistic and odds functions and their inverses.
dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
diagplot5new

Transpose of ECDF for centered fitted values and residuals from a linear model.
hov

Homogeneity of Variance
xysplom

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

Find absolute pathname of a script file for the HH book in the HH package.
HH.regsubsets

Display tabular results for Best Subsets Regression.
ancova

Compute and plot oneway analysis of covariance
plot.mmc.multicomp

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

Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
ladder

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

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

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

Find the row numbers in the lmat corresponding to the focus factor.
arma.loop

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

Residual plots for a linear model.
aovSufficient

Analysis of variance from sufficient statistics for groups.
ae.dotplot

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

QQ plot of regression residuals.
ci.plot

Plot confidence and prediction intervals for simple linear regression
intxplot

Interaction plot, with an option to print standard error bars.
panel.axis.right

Right-justify right-axis tick labels.
npar.arma

Count the number of parameters in an ARIMA model specification.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
GSremove

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

Prediction and Confidence Intervals for glm Objects
print.TwoTrellisColumns

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

Subroutine used by residual.plots.lattice
summary.arma.loop

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

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

MMC (Mean--mean Multiple Comparisons) plots.
objip

loop through all attached directories looking for pattern
OneWayVarPlot

Displays a three-panel bwplot of the data by group, of the group means, and of the entire dataset. This is an approximate visualization of the Mean Square lines from the ANOVA table for a one-way ANOVA model.
axis.i2wt

specialized axis function for interaction2wt.
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
useOuterStripsT2L1

Three-factor generalization of latticeExtra::useOuterStrips
interaction.positioned

interaction method for positioned factors.
hhpdf

R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
col.hh

Initializing Trellis Displays
NormalAndTplot

Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
cplx

Generate a sequence spanning the xlim of a lattice window.
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.
arima.diag.hh

Repair design error in S-Plus arima.diag
likertMosaic

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

Homogeneity of Variance: Brown--Forsyth method
regr1.plot

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

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

Calculate the Variance Inflation Factor
export.eps

Exports a graph to an EPS file.
panel.interaction2wt

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

Default Panel Function for ci.plot
mmc.mean

MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
datasets

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
lmatPairwise

lmatPairwise
mmcplot

MMC (Mean-mean Multiple Comparisons) plots in lattice.
normalApproxBinomial

Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
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.
lmplot

Four types of residual plots for linear models.
multicomp.order

Update a multicomp object by ordering its contrasts.
OddsRatio

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

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

Times series diagnostic plots for a structured set of ARIMA models.
partial.corr

partial correlations
mmcPruneIsomeans

MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
as.likert

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

Panel functions for tsdiagplot.
print.latticeresids

Print a latticeresids object.
panel.cartesian

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

Print a "tsdiagplot" object.
rbind.trellis

Extend matrix reshaping functions to trellis objects.
hh

Resolve filenames relative to the HH directory.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
panel.confintMMC

Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
panel.bwplot.superpose

Panel function for bwplot that displays an entire box in the colors coded by groups.
panel.pairs.hh

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

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

panel method for xysplom.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
matrix.trellis

Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
showHex

Show numbers in binary and hex format
print.NormalAndTplot

Print method for Normal and t plots from NTplot.
mmcAspect

Control aspect ratio in MMC plots to maintain isomeans grid as a square.
perspPlane

Helper functions for regr2.plot
plot.multicomp

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

isomeans grid for MMC plots.
strip.background0

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

Functions used by mmcplot.
X.residuals

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

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

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
residual.plots.lattice

Construct four sets of regression plots: Y against X, residuals against X, partial residuals against X, partial residuals against each X adjusted for all the other X columns.
legendGrob2wt

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

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

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

seqplot with confidence bands for the forecast region.
tsacfplots

Coordinated time series and ACF and PCF plots.
plot.hov

Homogeneity of Variance Plot
ResizeEtc

Display multiple independent trellis objects on the same coordinated scale.
pyramidLikert

Print a Likert plot as a Population Triangle
regrresidplot

Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
regr2.plot

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

Conditional Execution for R or S-Plus
defunct

Defunct Functions in Package 'HH'
bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.
NormalAndTPower

Construct a power graph based on the NTplot.
resid.squares

plot squared residuals in inches to match the y-dimension