varsimp: Varsimp method for Simple Partition

In prinsimp: Finding and plotting simple basis vectors for multivariate data

Description

Produces the variance-simplicity view for the specified basis vectors of the d-dimensional sample space.

Usage

varsimp(x, display = list(model=TRUE, simple=TRUE), full.simple = TRUE, ...)

Arguments

x	an object of class "simpart", typically result of simpart.
display	a list specifying which model basis vectors and which nearly null space simplicity basis vectors to print.
full.simple	logical indicating whether to draw the background lines at simplicity values of the full space.
...	other parameters passed through to plotting functions

See Also

basisplot, varperc, simpart

Examples

library(prinsimp)
require(graphics)

## Caterpillar estimated covariance from Kingsolver et al (2004)
## Measurements are at times 11, 17, 23, 29, 35, 40
data(caterpillar)

cat.sim <- simpart(caterpillar, simpledim = 2,
                   x = c(11, 17, 23, 29, 35, 40), cov = TRUE)

## Display all 6 basis vectors in the variance-simplicity view
varsimp(cat.sim)
    
## Display only the 4 model basis vectors in the variance-simplicity view
varsimp(cat.sim, display = list(model=1:4))

prinsimp documentation built on May 2, 2019, 2:41 a.m.