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prinsimp (version 0.8-8)

varsimp: Varsimp method for Simple Partition

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

Run this code
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))

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