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Morpho (version 2.12)

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, ...)

Value

returns the quotient.

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)

Author

Stefan Schlager

References

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

Examples

Run this code

lm1 <- lm(as.matrix(iris[,1:4]) ~ iris[,5])
exVar(lm1)

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