HH-package {HH} | R Documentation |
Support software for Statistical Analysis and Data Display (Springer, ISBN 0-387-40270-5). This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They 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.
Package: | HH |
Type: | Package |
Version: | 1.4 |
Date: | 2006-08-21 |
License: | GPL version 2 or newer |
data display, scatterplot matrix, MMC mean–mean multiple comparison plots, interaction plots, ANCOVA plots, regression diagnostics, time series, ARIMA models, boxplots
Richard M. Heiberger
Maintainer: Richard M. Heiberger <rmh@temple.edu>
Heiberger, Richard~M. and Holland, Burt (2004b). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.
ancova,
ci.plot,
interaction2wt,
ladder,
lm.case,
norm.curve,
hov,
resid.squares,
MMC,
xysplom
## interaction2wt() ## multicomp.mmc() ## S-Plus ## glht.mmc() ## R ## ancova() ## xysplom() ## plot.case() ## bwplot() ## with position ## tsacfplots() ## at this writing, only S-Plus ## tsdiagplot() ## at this writing, only S-Plus