| Title: | An Introduction to Applied Multivariate Analysis with R | 
| Date: | 2025-01-29 | 
| Version: | 1.0-9 | 
| Description: | Functions, data sets, analyses and examples from the book ‘An Introduction to Applied Multivariate Analysis with R’ (Brian S. Everitt and Torsten Hothorn, Springer, 2011). | 
| Depends: | HSAUR2 | 
| Suggests: | mvtnorm, mclust, lattice, flexclust, nlme, RLRsim, multcomp, ape, MASS, sem, KernSmooth, scatterplot3d, ellipse | 
| URL: | http://dx.doi.org/10.1007/978-1-4419-9650-3 | 
| License: | GPL-2 | 
| Encoding: | UTF-8 | 
| NeedsCompilation: | no | 
| Packaged: | 2025-01-29 11:52:59 UTC; hothorn | 
| Author: | Brian S. Everitt [aut],
  Torsten Hothorn | 
| Maintainer: | Torsten Hothorn <Torsten.Hothorn@R-project.org> | 
| Repository: | CRAN | 
| Date/Publication: | 2025-01-29 12:20:02 UTC | 
Bivariate Boxplot
Description
Boxplots in two dimensions
Usage
bvbox(a, d = 7, mtitle = "Bivariate Boxplot", method = "robust", 
      xlab = "X", ylab = "Y", add = FALSE, ...)
Arguments
| a | a matrix | 
| d | dimension | 
| mtitle | title | 
| method | character | 
| xlab | x axis label | 
| ylab | y axis label | 
| add | add to existing plot? | 
| ... | additional plot arguments | 
Details
See Chapter 2: Visualization.
Chi-squared Plot
Description
Chi-squared plot for independence
Usage
chiplot(x, y, ...)
Arguments
| x | a numeric vector | 
| y | a numeric vector | 
| ... | additional plot arguments | 
Details
See Chapter 2: Visualization.
Stalactite plot
Description
The stalactite plot, specifically designed for the detection and identification of multivariate outliers.
Usage
stalac(x)
Arguments
| x | numeric vector | 
Details
See Chapter 2: Visualization.