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HH (version 3.1-34)

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

3.1-34

License

GPL (>= 2)

Maintainer

Richard Heiberger

Last Published

January 18th, 2017

Functions in HH (3.1-34)

arima.diag.hh

Repair design error in S-Plus arima.diag
anovaMean

ANOVA table from the group sample sizes, means, and standard deviations.
AEdotplot.data.frame

AE (Adverse Events) dotplot of incidence and relative risk, support functions
anova.ancovaplot

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

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

Compute and plot oneway analysis of covariance
aovSufficient

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

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

AE (Adverse Events) dotplot of incidence and relative risk
ancova-class

Class "ancova" Analysis of Covariance
as.multicomp

Support functions in R for MMC (mean--mean multiple comparisons) plots.
axis.i2wt

specialized axis function for interaction2wt.
col.hh

Initializing Trellis Displays
CIplot

Illustration of the meaning of confidence levels.
bivariateNormal

Plot the bivariate normal density using wireframe for specified rho.
as.likert

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

Plot confidence and prediction intervals for simple linear regression
col3x2

col3x2 color dataset
as.matrix.listOfNamedMatrices

Convert a list of matrices to a single matrix
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.
cplx

Generate a sequence spanning the xlim of a lattice window.
diagplot5new

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

Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
Discrete4

Discrete with four levels color dataset.
combineLimits.trellisvector

Combine limits on a one-dimensional trellis object.
diagQQ

QQ plot of regression residuals.
datasets

Datasets for Statistical Analysis and Data Display, Heiberger and Holland
do.formula.trellis.xysplom

Interprets model formulas for xysplom and extended bwplots
pdiscunif

Discrete Uniform Distribution
grid.yaxis.hh

make x- and y-axis labels
F.curve

plot a chisquare or a F-curve.
extra

export.eps

Exports a graph to an EPS file.
HH.regsubsets

Display tabular results for Best Subsets Regression.
emptyMainLeftAxisLeftStripBottomLegend

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

Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
gof.calculation

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

Intermediate f and chisq functions to simplify writing for both R and S-Plus.
glhtWithMCP.993

Retain averaging behavior that was previously available in glht.
hovBF

Homogeneity of Variance: Brown--Forsyth method
if.R

Conditional Execution for R or S-Plus
defunct

Defunct Functions in Package 'HH'
HH-package

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

Find absolute pathname of a script file for the HH book in the HH package.
interaction2wt

Plot all main effects and twoway interactions in a multifactor design
interaction.positioned

interaction method for positioned factors.
hov

Homogeneity of Variance
hh

Resolve filenames relative to the HH directory.
hhpdf

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

Prediction and Confidence Intervals for glm Objects
intxplot

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

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

case statistics for regression analysis
LikertPercentCountColumns

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

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

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

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

Selection of colors for Likert plots.
latticeresids

Subroutine used by residual.plots.lattice
logit

Logistic and odds functions and their inverses.
mmcAspect

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

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

Functions used by mmcplot.
mmc

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

Four types of residual plots for linear models.
lmatRows

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

lmatPairwise
mcalinfct

MCA multiple comparisons analysis (pairwise)
matrix.trellis

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

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

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

partial correlations
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.
orthog.complete

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

Helper functions for regr2.plot
normalApproxBinomial

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

Panel functions for likert that include a stackWidth argument
panel.isomeans

isomeans grid for MMC plots.
npar.arma

Count the number of parameters in an ARIMA model specification.
positioned-class

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

Print a latticeresids object.
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.
residual.plots

Residual plots for a linear model.
panel.acf

Panel functions for tsdiagplot.
panel.axis.right

Right-justify right-axis tick labels.
panel.interaction2wt

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

Dotplot with evenly spaced tiebreakers.
plot.mmc.multicomp

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

Homogeneity of Variance Plot
regr1.plot

plot x and y, with optional straight line fit and display of squared residuals
regr2.plot

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

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

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

Construct a power graph based on the NTplot.
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.
OddsRatio

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

Extend matrix reshaping functions to trellis objects.
pyramidLikert

Print a Likert plot as a Population Triangle
strip.xysplom

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

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

Display multiple independent trellis objects on the same coordinated scale.
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
X.residuals

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

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

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

Print method for Normal and t plots from NTplot.
panel.ci.plot

Default Panel Function for ci.plot
panel.bwplott

Extension to S-Plus trellis to allow transposed plots.
panel.cartesian

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

Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
summary.arma.loop

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

Print a "tsdiagplot" object.
tsacfplots

Coordinated time series and ACF and PCF plots.
ResizeEtc.likertPlot

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

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

seqplot with confidence bands for the forecast region.
xysplom

scatterplot matrix with potentially different sets of variables on the rows and columns.
panel.bwplot.intermediate.hh

Panel functions for bwplot.
multicomp.reverse

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

Update a multicomp object by ordering its contrasts.
panel.pairs.hh

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

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

panel method for xysplom.
print.TwoTrellisColumns

Print two conformable trellis plots in adjacent columns with user control of widths.
push.vp.hh

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

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

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

Time series plot.
strip.background0

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

Analysis of Covariance Plots
likert

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