Package 'MVA'

Title: An Introduction to Applied Multivariate Analysis with R
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).
Authors: Brian S. Everitt and Torsten Hothorn
Maintainer: Torsten Hothorn <[email protected]>
License: GPL-2
Version: 1.0-8
Built: 2025-01-15 02:37:57 UTC
Source: https://github.com/cran/MVA

Help Index

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.