ConcEllipse: Non-parametric concentration ellipses

In PERMANOVA: Multivariate Analysis of Variance Based on Distances and Permutations

Description

Calculates non-parametric concentration ellipses for a two-dimensional set of points

Usage

ConcEllipse(data, center = NULL, confidence = 1, npoints = 100)

Arguments

data	A two dimensional set of points.
center	Center of the data.
confidence	Confidence for the concentration ellipse.
npoints	Number of points to plot.

Details

Calculates non-parametric concentration ellipses for a two-dimensional set of points using distances to the center.

Value

data	Original data
confidence	Percent of points selected for the ellipse
ellipse	points to plot the ellipse
center	center of the ellipse

Author(s)

Laura Vicente-Gonzalez, Jose Luis Vicente-Villardon

References

Meulman, J. J., & Heiser, W. J. (1983). The display of bootstrap solutions in multidimensional scaling. Murray Hill, NJ: Bell Laboratories.

Linting, M., Meulman, J. J., Groenen, P. J., & Van der Kooij, A. J. (2007). Stability of nonlinear principal components analysis: An empirical study using the balanced bootstrap. Psychological Methods, 12(3), 359.

Examples

x=runif(30)
y=x+rnorm(30)*0.3
plot(x, y)
el=ConcEllipse(cbind(x,y), confidence=0.95)
plot(el)

PERMANOVA documentation built on Sept. 6, 2021, 5:07 p.m.