Morpho (version 2.6)

exVar: calculate variance of a distribution stemming from prediction models

Description

calculates a quotient of the overall varriance within a predicted distribution to that from the original one. This function calculates a naive extension of the univariate R^2-value by dividing the variance in the predicted dat by the variance of the original data. No additional adjustments are made!!

Usage

exVar(model, ...)
# S3 method for lm
exVar(model, ...)
# S3 method for mvr
exVar(model, ncomp, val = FALSE, ...)

Arguments

model

a model of classes "lm" or "mvr" (from the package "pls")

…

currently unused additional arguments.

ncomp

How many latent variables to use (only for mvr models)

val

use cross-vaildated predictions (only for mvr models)

Value

returns the quotient.

References

Langsrud O, Juergensen K, Ofstad R, Naes T. 2007. Analyzing Designed Experiments with Multiple Responses Journal of Applied Statistics 34:1275-1296.

Examples

# NOT RUN {
lm1 <- lm(as.matrix(iris[,1:4]) ~ iris[,5])
exVar(lm1)
# }