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HH (version 3.1-37)

Statistical Analysis and Data Display: Heiberger and Holland

Description

Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) 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

3.1-37

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

August 29th, 2019

Functions in HH (3.1-37)

defunct

Defunct Functions in Package 'HH'
Discrete4

Discrete with four levels color dataset.
GSremove

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

HH
F.curve

plot a chisquare or a F-curve.
HH.regsubsets

Display tabular results for Best Subsets Regression.
CIplot

Illustration of the meaning of confidence levels.
HHscriptnames

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

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

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

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

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

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

Support functions in R for MMC (mean--mean multiple comparisons) plots.
arima.diag.hh

Repair design error in S-Plus arima.diag
AEdotplot

AE (Adverse Events) dotplot of incidence and relative risk
as.vector.trellis

Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
AEdotplot.data.frame

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

ANOVA table from the group sample sizes, means, and standard deviations.
axis.i2wt

specialized axis function for interaction2wt.
ResizeEtc

Display multiple independent trellis objects on the same coordinated scale.
ResizeEtc.likertPlot

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

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

Analysis of variance from sufficient statistics for groups.
combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
pdiscunif

Discrete Uniform Distribution
col3x2

col3x2 color dataset
interval

Prediction and Confidence Intervals for glm Objects
intxplot

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

bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.
dchisq.intermediate

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

Homogeneity of Variance: Brown--Forsyth method
interaction.positioned

interaction method for positioned factors.
if.R

Conditional Execution for R or S-Plus
ancova-class

Class "ancova" Analysis of Covariance
ancovaplot

Analysis of Covariance Plots
lm.case

case statistics for regression analysis
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
lmatRows

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

lmatPairwise
lmplot

Four types of residual plots for linear models.
logit

Logistic and odds functions and their inverses.
export.eps

Exports a graph to an EPS file.
cplx

Generate a sequence spanning the xlim of a lattice window.
cp.calc

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

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

Initializing Trellis Displays
objip

loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
gof.calculation

Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
anova.ancovaplot

ANOVA table for a c("ancovaplot","trellis") object.
ci.plot

Plot confidence and prediction intervals for simple linear regression
OddsRatio

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

Compute and plot oneway analysis of covariance
panel.axis.right

Right-justify right-axis tick labels.
mmcplot

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

Construct a power graph based on the NTplot.
lm.regsubsets

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

Functions used by mmcplot.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
norm.curve

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

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

MMC (Mean--mean Multiple Comparisons) plots.
panel.cartesian

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

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

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

Subroutine used by residual.plots.lattice
legendGrob2wt

place separate keys to the left of each row of a trellis
grid.yaxis.hh

make x- and y-axis labels
orthog.complete

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

Panel functions for tsdiagplot.
hh

Resolve filenames relative to the HH directory.
likert

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

Helper functions for regr2.plot
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
panel.bwplot.superpose

Panel function for bwplot that displays an entire box in the colors coded by groups.
print.latticeresids

Print a latticeresids object.
plot.hov

Homogeneity of Variance Plot
regr1.plot

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

Extend matrix reshaping functions to trellis objects.
residual.plots

Residual plots for a linear model.
xysplom

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

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

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
diag.maybe.null

Returns a value for the diagonal of NA and NULL arguments.
as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix
mmcPruneIsomeans

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

Update a multicomp object by ordering its contrasts.
diagQQ

QQ plot of regression residuals.
seqplot

Time series plot.
print.tsdiagplot

Print a "tsdiagplot" object.
multicomp.reverse

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

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

panel method for xysplom.
panel.ci.plot

Default Panel Function for ci.plot
partial.corr

partial correlations
pyramidLikert

Print a Likert plot as a Population Triangle
push.vp.hh

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

seqplot with confidence bands for the forecast region.
summary.arma.loop

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

Coordinated time series and ACF and PCF plots.
normalApproxBinomial

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

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

Count the number of parameters in an ARIMA model specification.
diagplot5new

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

Confidence interval panel for MMC tiebreaker plots, or confidence interval 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.
panel.dotplot.tb

Dotplot with evenly spaced tiebreakers.
positioned-class

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

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

Print method for Normal and t plots from NTplot.
hhpdf

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

Selection of colors for Likert plots.
matrix.trellis

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

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

MCA multiple comparisons analysis (pairwise)
hov

Homogeneity of Variance
panel.isomeans

isomeans grid for MMC plots.
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
strip.useOuterStrips.first

Functions based on strip.default for use with the useOuterScales function.
print.TwoTrellisColumns

Print two conformable trellis plots in adjacent columns with user control of widths.
strip.background0

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

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

Put scales for axes only on the bottom and left panels of a lattice display, and give fine control over the placement of strips
panel.likert

Panel functions for likert that include a stackWidth argument
panel.pairs.hh

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

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

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

Calculate the Variance Inflation Factor
useOuterStripsT2L1

Three-factor generalization of latticeExtra::useOuterStrips
resid.squares

plot squared residuals in inches to match the y-dimension
regr2.plot

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