Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

summary.simpart

Summary method for Simple Partition


Description

The summary method for class "simpart". Prints the dimensions of the nearly null space in the simpart object, the percent of total variance explained by each basis vector, the cumulative percent of total variance explained (with accumulation restarting in the nearly null space), and the simplicity values of each basis vector. The model basis vectors are ordered by the percent of variance explained in descending order. The vectors in the simplicity basis of the nearly null space are ordered by their simplicity measures in descending order.

Usage

## S3 method for class 'simpart'
summary(object, loadings = FALSE, ...)

## S3 method for class 'summary.simpart'
print(x, digits = 3, loadings = x$print.loadings,
       ...)

Arguments

object

an object of class "simpart", as from simpart().

loadings

logical. If true, all basis vectors are printed.

x

an object of class "summary.simpart".

digits

the number of significant digits to be used in listing loadings.

...

arguments to be passed to or from other methods.

Value

object with additional component print.loadings.

See Also

Examples

library(prinsimp)

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

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

print(summary(cat.sim, loadings = TRUE), digits = 2)

prinsimp

Finding and plotting simple basis vectors for multivariate data

v0.8-8
AGPL-3
Authors
Davor Cubranic, Jonathan Zhang, Nancy Heckman, Travis Gaydos, and J.S. Marron
Initial release
2013-11-01

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.