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HH (version 3.1-40)

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

6,252

Version

3.1-40

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

March 3rd, 2020

Functions in HH (3.1-40)

defunct

Defunct Functions in Package 'HH'
col3x2

col3x2 color dataset
combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.
extra

dchisq.intermediate

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
interaction2wt

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

Illustration of the meaning of confidence levels.
Discrete4

Discrete with four levels color dataset.
ancova

Compute and plot oneway analysis of covariance
interval

Prediction and Confidence Intervals for glm Objects
HHscriptnames

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

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

Class "ancova" Analysis of Covariance
NTplot

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

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

Display tabular results for Best Subsets Regression.
anovaMean

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

Logistic and odds functions and their inverses.
cp.calc

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

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

Analysis of variance from sufficient statistics for groups.
AEdotplot.data.frame

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

Generate a sequence spanning the xlim of a lattice window.
lmplot

Four types of residual plots for linear models.
ancovaplot

Analysis of Covariance Plots
AEdotplot

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

Conditional Execution for R or S-Plus
diagplot5new

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

Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
arima.diag.hh

Repair design error in S-Plus arima.diag
NormalAndTPower

Construct a power graph based on the NTplot.
anova.ancovaplot

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

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

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

QQ plot of regression residuals.
interaction.positioned

interaction method for positioned factors.
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.
arma.loop

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

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

Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
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.
lmatPairwise

lmatPairwise
bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.
F.curve

plot a chisquare or a F-curve.
mmc

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

MCA multiple comparisons analysis (pairwise)
as.likert

Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix
emptyMainLeftAxisLeftStripBottomLegend

Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
axis.i2wt

specialized axis function for interaction2wt.
panel.xysplom

panel method for xysplom.
diag.maybe.null

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

Panel functions for tsdiagplot.
lm.regsubsets

Evaluate lm model with highest adjusted $R^2$.
export.eps

Exports a graph to an EPS file.
intxplot

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

Discrete Uniform Distribution
pyramidLikert

Print a Likert plot as a Population Triangle
datasets

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
panel.axis.right

Right-justify right-axis tick labels.
likertMosaic

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

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

Initializing Trellis Displays
partial.corr

partial correlations
ladder

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

Extend matrix reshaping functions to trellis objects.
lm.case

case statistics for regression analysis
mmc.mean

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

Dotplot with evenly spaced tiebreakers.
perspPlane

Helper functions for regr2.plot
panel.interaction2wt

Plot all main effects and twoway interactions in a multifactor design
legendGrob2wt

place separate keys to the left of each row of a trellis
latticeresids

Subroutine used by residual.plots.lattice
residVSfitted

Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
hov

Homogeneity of Variance
residual.plots

Residual plots for a linear model.
gof.calculation

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

Coordinated time series and ACF and PCF plots.
tsdiagplot

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

Homogeneity of Variance: Brown--Forsyth method
mmcisomeans

Functions used by mmcplot.
regr2.plot

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

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

MMC plots in lattice---suppress isomeans grid lines for specified levels of the factor.
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
grid.yaxis.hh

make x- and y-axis labels
strip.useOuterStrips.first

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

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

plot a normal or a t-curve with both x and z axes.
useOuterStripsT2L1

Three-factor generalization of latticeExtra::useOuterStrips
panel.confintMMC

Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
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
strip.xysplom

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

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

Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
panel.ci.plot

Default Panel Function for ci.plot
plot.mmc.multicomp

MMC (Mean--mean Multiple Comparisons) plot.
npar.arma

Count the number of parameters in an ARIMA model specification.
plot.hov

Homogeneity of Variance Plot
mmcplot

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

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

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

Selection of colors for Likert plots.
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
multicomp.order

Update a multicomp object by ordering its contrasts.
regrresidplot

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

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

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

isomeans grid for MMC plots.
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.
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
plot.multicomp

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

Print method for Normal and t plots from NTplot.
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.tsdiagplot

Print a "tsdiagplot" object.
panel.likert

Panel functions for likert that include a stackWidth argument
seqplot

Time series plot.
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.
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.
print.TwoTrellisColumns

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

seqplot with confidence bands for the forecast region.
strip.background0

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

Calculate the Variance Inflation Factor
resid.squares

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

Print a latticeresids object.
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
HH-package

HH
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
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
as.vector.trellis

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