HH (version 3.1-34)

HH-package: Support software for Statistical Analysis and Data Display by Richard M. Heiberger and Burt Holland

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 2015). 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.

Details

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

References

Heiberger, Richard M. and Holland, Burt (2015). Statistical Analysis and Data Display: An Intermediate Course with Examples in R, Second Edition. Springer Texts in Statistics. Springer. ISBN 978-1-4939-2121-8. Heiberger, Richard M. and Holland, Burt (2004). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS, First Edition. Springer Texts in Statistics. Springer. ISBN 0-387-40270-5.

See Also

ancovaplot, ci.plot, interaction2wt, ladder, case.lm, NTplot for Normal and \(t\) plots, hov, resid.squares, MMC, AEdotplot, likert, tsacfplots, tsdiagplot

demo(package="HH")

Examples

# NOT RUN {
## In addition to the examples for each function,
## there are seven interactive shiny apps in the HH package:
# }
# NOT RUN {
NTplot(mean0=0, mean1=1, shiny=TRUE)
shiny::runApp(system.file("shiny/bivariateNormal", package="HH"))
shiny::runApp(system.file("shiny/bivariateNormalScatterplot", package="HH"))
shiny::runApp(system.file("shiny/PopulationPyramid", package="HH"))
shiny.CIplot(height = "auto")
shiny::runApp(system.file("shiny/AEdotplot", package="HH"))
shiny::runApp(system.file("shiny/likert", package="HH"))
# }

Run the code above in your browser using DataCamp Workspace