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HH (version 3.1-47)

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

7,440

Version

3.1-47

License

GPL (>= 2)

Last Published

January 27th, 2022

Functions in HH (3.1-47)

HH-internal

Internal HH functions
GSremove

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

Display tabular results for Best Subsets Regression.
defunct

Defunct Functions in Package 'HH'
Discrete4

Discrete with four levels color dataset.
LikertPercentCountColumns

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

HH
F.curve

plot a chisquare or a F-curve.
HHscriptnames

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

Illustration of the meaning of confidence levels.
ResizeEtc.likertPlot

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

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

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

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

Class "ancova" Analysis of Covariance
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.
NTplot

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

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

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

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

Repair design error in S-Plus arima.diag
X.residuals

Residuals from the regression of each column of a data.frame against all the other columns.
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.
emptyMainLeftAxisLeftStripBottomLegend

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

Compute and plot oneway analysis of covariance
ancovaplot

Analysis of Covariance Plots
bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.
AEdotplot.data.frame

AE (Adverse Events) dotplot of incidence and relative risk, support functions
arma.loop

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

Initializing Trellis Displays
col3x2

col3x2 color dataset
as.likert

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

Homogeneity of Variance
hhpdf

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

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

Special case wrapper for likert() when multiple columns are to have the same bar thicknesses. Uses formula.
diagplot5new

Transpose of ECDF for centered fitted values and residuals from a linear model.
diag.maybe.null

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

QQ plot of regression residuals.
ci.plot

Plot confidence and prediction intervals for simple linear regression
as.matrix.listOfNamedMatrices

Convert a list of numeric matrices to a single matrix
pdiscunif

Discrete Uniform Distribution
axis.i2wt

specialized axis function for interaction2wt.
as.vector.trellis

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

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

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

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

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

Exports a graph to an EPS file.
anovaMean

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

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

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

interaction method for positioned factors.
datasets

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
if.R

Conditional Execution for R or S-Plus
intxplot

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

Prediction and Confidence Intervals for glm Objects
lm.case

case statistics for regression analysis
dchisq.intermediate

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

Evaluate lm model with highest adjusted $R^2$.
interaction2wt

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

matrix.trellis

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

MCA multiple comparisons analysis (pairwise)
panel.cartesian

trellis panel function, with labeled rows and columns and without strip labels.
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
likertColor

Selection of colors for Likert plots.
likert

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

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

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

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

Functions used by mmcplot.
multicomp.order

Update a multicomp object by ordering its contrasts.
panel.bwplot.superpose

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

Count the number of parameters in an ARIMA model specification.
panel.bwplott

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

Extend matrix reshaping functions to trellis objects.
multicomp.reverse

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

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

Row and columns percents
regr1.plot

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

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

Time series plot.
panel.xysplom

panel method for xysplom.
mmcplot

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

Helper functions for regr2.plot
grid.yaxis.hh

make x- and y-axis labels
panel.ci.plot

Default Panel Function for ci.plot
panel.acf

Panel functions for tsdiagplot.
partial.corr

partial correlations
plot.hov

Homogeneity of Variance Plot
summary.arma.loop

summary and print and subscript methods for tsdiagplot and related objects.
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.
legendGrob2wt

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

Subroutine used by residual.plots.lattice
lmatRows

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

lmatPairwise
print.tsdiagplot

Print a "tsdiagplot" object.
objip

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

Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
print.latticeresids

Print a latticeresids object.
OddsRatio

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

Dotplot with evenly spaced tiebreakers.
latex.array

Generate the latex code for an "array" or "table" with 3, 4, or more dimensions.
ladder

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

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

Print a Likert plot as a Population Triangle
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.
lmplot

Four types of residual plots for linear models.
logit

Logistic and odds functions and their inverses.
norm.curve

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

Panel functions for likert that include a stackWidth argument
NormalAndTPower

Construct a power graph based on the NTplot.
vif

Calculate the Variance Inflation Factor
panel.axis.right

Right-justify right-axis tick labels.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
plot.mmc.multicomp

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

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

Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
panel.interaction2wt

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

isomeans grid for MMC plots.
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
regr2.plot

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

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

Print method for Normal and t plots from NTplot.
print.TwoTrellisColumns

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

plot squared residuals in inches to match the y-dimension
tsacfplots

Coordinated time series and ACF and PCF plots.
residVSfitted

Draw plots of resid ~ y.hat and sqrt(abs(resid)) ~ y.hat
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.
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
useOuterStripsT2L1

Three-factor generalization of latticeExtra::useOuterStrips
residual.plots

Residual plots for a linear model.
tsdiagplot

Times series diagnostic plots for a structured set of ARIMA models.
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.
strip.useOuterStrips.first

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