Rsq: Multiple correlation coefficient methods
In BillVenables/WWRUtilities: Support Software and Data for WWR

Description Usage Arguments Value Examples

Calculates R^2, by dafault adjusted, for basic models

Rsq(model, ...)

## S3 method for class 'lm'
Rsq(model, adjust = TRUE, ...)

## S3 method for class 'mlm'
Rsq(model, adjust = TRUE, ...)

## S3 method for class 'glm'
Rsq(model, adjust = TRUE, ...)

`model`	The fitted model object
`...`	currently ignored, may be used in future methods
`adjust`	logical: should the value be bias adjusted?

Multiple correlation estimates as required

.fm <- lm(medv ~ ., Boston)
c(Rsq(.fm), summary(.fm)$adj.r.squared)
c(Rsq(.fm, adjust = FALSE), summary(.fm)$r.squared)
.tst <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), quine)
Rsq(.tst)
Rsq(.tst, FALSE)
rm(.fm, .tst)