HH v3.1-35


Monthly downloads



Statistical Analysis and Data Display: Heiberger and Holland

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.

Functions in HH

Name Description
ancovaplot Analysis of Covariance Plots
arima.diag.hh Repair design error in S-Plus arima.diag
as.matrix.listOfNamedMatrices Convert a list of matrices to a single matrix
as.likert Support functions for diverging stacked barcharts for Likert, semantic differential, and rating scale data.
gof.calculation Calculate Box--Ljung Goodness of Fit for ARIMA models in S-Plus.
anovaMean ANOVA table from the group sample sizes, means, and standard deviations.
axis.i2wt specialized axis function for interaction2wt.
col.hh Initializing Trellis Displays
interaction.positioned interaction method for positioned factors.
ci.plot Plot confidence and prediction intervals for simple linear regression
glhtWithMCP.993 Retain averaging behavior that was previously available in glht.
AEdotplot AE (Adverse Events) dotplot of incidence and relative risk
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.
anova.ancovaplot ANOVA table for a c("ancovaplot","trellis") object.
as.multicomp Support functions in R for MMC (mean--mean multiple comparisons) plots.
do.formula.trellis.xysplom Interprets model formulas for xysplom and extended bwplots
bivariateNormal Plot the bivariate normal density using wireframe for specified rho.
hov Homogeneity of Variance
pdiscunif Discrete Uniform Distribution
hhpdf R tools for writing HH2: hhpdf, hhdev.off, hhcapture, hhcode, hhpng, hhlatex
interaction2wt Plot all main effects and twoway interactions in a multifactor design
as.vector.trellis Convert a two-dimensional trellis object into a one-dimensional trellis object. Change the order of panels in a trellis object.
cp.calc Rearranges and improves the legibility of the output from the stepwise function in S-Plus.
datasets Datasets for Statistical Analysis and Data Display, Heiberger and Holland
cplx Generate a sequence spanning the xlim of a lattice window.
combineLimits.trellisvector Combine limits on a one-dimensional trellis object.
col3x2 col3x2 color dataset
lmatPairwise lmatPairwise
emptyMainLeftAxisLeftStripBottomLegend Remove main title, left axis tick labels, left strip, bottom legend from plot and keep the vertical spacing allocated to those items.
lmatRows Find the row numbers in the lmat corresponding to the focus factor.
mmcisomeans Functions used by mmcplot.
diag.maybe.null Returns a value for the diagonal of NA and NULL arguments.
dchisq.intermediate Intermediate f and chisq functions to simplify writing for both R and S-Plus.
mmcplot MMC (Mean-mean Multiple Comparisons) plots in lattice.
legendGrob2wt place separate keys to the left of each row of a trellis
grid.yaxis.hh make x- and y-axis labels
export.eps Exports a graph to an EPS file.
diagQQ QQ plot of regression residuals.
normalApproxBinomial Plots to illustrate Normal Approximation to the Binomial---hypothesis tests or confidence intervals.
diagplot5new Transpose of ECDF for centered fitted values and residuals from a linear model.
interval Prediction and Confidence Intervals for glm Objects
hh Resolve filenames relative to the HH directory.
ladder Draw a "ladder of powers" plot, plotting each of several powers of y against the same powers of x.
mmc MMC (Mean--mean Multiple Comparisons) plots.
mmc.mean MMC (Mean--mean Multiple Comparisons) plots from the sufficient statistics for a one-way design.
intxplot Interaction plot, with an option to print standard error bars.
likert Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids.
panel.axis.right Right-justify right-axis tick labels.
hovBF Homogeneity of Variance: Brown--Forsyth method
panel.bwplot.intermediate.hh Panel functions for bwplot.
objip loop through all attached directories looking for pattern, possibly restricting to specified class or mode.
npar.arma Count the number of parameters in an ARIMA model specification.
partial.corr partial correlations
panel.xysplom panel method for xysplom.
rbind.trellis Extend matrix reshaping functions to trellis objects.
latticeresids Subroutine used by residual.plots.lattice
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.
regr1.plot plot x and y, with optional straight line fit and display of squared residuals
OddsRatio Calculate or plot the odds ratio for a 2x2 table of counts.
multicomp.order Update a multicomp object by ordering its contrasts.
residual.plots Residual plots for a linear model.
multicomp.reverse Force all comparisons in a "multicomp" object to have the same sign.
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.
if.R Conditional Execution for R or S-Plus
plot.mmc.multicomp MMC (Mean--mean Multiple Comparisons) plot.
lm.regsubsets Evaluate lm model with highest adjusted $R^2$.
lm.case case statistics for regression analysis
panel.confintMMC Confidence interval panel for MMC tiebreaker plots, or confidence interval plot.
matrix.trellis Convert a one-dimensional trellis object to a two-dimensional trellis object. This permits combineLimits and useOuterStrips to work.
panel.likert Panel functions for likert that include a stackWidth argument
likertColor Selection of colors for Likert plots.
panel.dotplot.tb Dotplot with evenly spaced tiebreakers.
panel.pairs.hh Function based on S-Plus panel.pairs to add the subpanel.scales and panel.cex arguments.
print.NormalAndTplot Print method for Normal and t plots from NTplot.
likertMosaic Diverging stacked barcharts for Likert, semantic differential, rating scale data, and population pyramids based on mosaic as the plotting style.
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.
plot.multicomp Multiple comparisons plot that gives independent user control over the appearance of the significant and not significant comparisons.
mcalinfct MCA multiple comparisons analysis (pairwise)
lmplot Four types of residual plots for linear models.
resid.squares plot squared residuals in inches to match the y-dimension
print.latticeresids Print a latticeresids object.
print.tsdiagplot Print a "tsdiagplot" object.
NormalAndTPower Construct a power graph based on the NTplot.
logit Logistic and odds functions and their inverses.
norm.curve plot a normal or a t-curve with both x and z axes.
summary.arma.loop summary and print and subscript methods for tsdiagplot and related objects.
panel.interaction2wt Plot all main effects and twoway interactions in a multifactor design
orthog.complete Construct an orthogonal matrix which is an arbitrary completion of the column space of the input set of 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.
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
panel.acf Panel functions for tsdiagplot.
panel.isomeans isomeans grid for MMC plots.
perspPlane Helper functions for regr2.plot
plot.hov Homogeneity of Variance Plot
panel.cartesian trellis panel function, with labeled rows and columns and without strip labels.
regr2.plot 3D plot of z against x and y, with regression plane fit and display of squared residuals.
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.
positioned-class Class "positioned", extends "ordered" to specify the position for graphing the levels of a factor.
push.vp.hh push and pop a grid viewport, turn clipping off, change scale.
panel.ci.plot Default Panel Function for ci.plot
regrresidplot Draw a plot of y vs x from a linear model object, with residuals indicated by lines or squares.
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.
seqplot Time series plot.
strip.background0 Turn off the coloring in the trellis strip labels. Color 0 is the background color.
seqplot.forecast seqplot with confidence bands for the forecast region.
tsdiagplot Times series diagnostic plots for a structured set of ARIMA models.
tsacfplots Coordinated time series and ACF and PCF plots.
xysplom scatterplot matrix with potentially different sets of variables on the rows and columns.
LikertPercentCountColumns Display likert plots with percents in the first column of panels and counts in the second column of panels.
GSremove Remove selected GraphSheetPages in the S-Plus Windows GUI Graphsheet
CIplot Illustration of the meaning of confidence levels.
F.curve plot a chisquare or a F-curve.
ResizeEtc.likertPlot Display multiple independent trellis objects, representing likert plots, on the same coordinated scale.
ancova-class Class "ancova" Analysis of Covariance
ancova Compute and plot oneway analysis of covariance
ResizeEtc Display multiple independent trellis objects on the same coordinated scale.
NormalAndTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals.
X.residuals Residuals from the regression of each column of a data.frame against all the other columns.
Discrete4 Discrete with four levels color dataset.
defunct Defunct Functions in Package 'HH'
HHscriptnames Find absolute pathname of a script file for the HH book in the HH package.
HH-package HH
HH.regsubsets Display tabular results for Best Subsets Regression.
AEdotplot.data.frame AE (Adverse Events) dotplot of incidence and relative risk, support functions
NTplot Specify plots to illustrate Normal and t Hypothesis Tests or Confidence Intervals, including normal approximation to the binomial.
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.
No Results!

Last month downloads


Type Package
Date 2018-06-02
License GPL (>= 2)
NeedsCompilation no
Packaged 2018-06-03 03:29:31 UTC; rmh
Repository CRAN
Date/Publication 2018-06-05 19:48:07 UTC

Include our badge in your README