Package: HH
Type: Package
Title: Statistical Analysis and Data Display: Heiberger and Holland
Version: 3.0-4
Date: 2014-02-22
Author: Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>
Depends: R (>= 3.0.2), lattice, stats, grid, latticeExtra, multcomp
Imports: reshape2, leaps, vcd, colorspace, RColorBrewer
Suggests: Rcmdr, methods, abind, mvtnorm
Description: Support software for Statistical Analysis and Data
Display (First Edition, Springer, ISBN 0-387-40270-5) and
(Second Edition, Springer, ISBN x-xxx-xxxxx-x).  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.
License: GPL (>= 2)
Packaged: 2014-03-11 00:12:48 UTC; rmh
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-03-11 15:19:39

Depends: R (>= 3.0.2), lattice, stats, grid, latticeExtra, multcomp,
Imports: reshape2, leaps, vcd, colorspace, RColorBrewer, Rcmdr, shiny
Suggests: methods, abind, mvtnorm, car, RcmdrPlugin.HH
Description: Support software for Statistical Analysis and Data Display (First Edition, Springer, ISBN 0-387-40270-5, 2004) and (Second Edition, Springer, ISBN 978-1-4939-2121-8, anticipated 2015) 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.