vegan (version 1.17-12)

RsquareAdj: Adjusted R-square

Description

The functions finds the adjusted R-square.

Usage

## S3 method for class 'default':
RsquareAdj(x, n, m, ...)
## S3 method for class 'rda':
RsquareAdj(x, ...)

Arguments

x

Unadjusted R-squared or an object from which the terms for evaluation or adjusted R-squared can be found.

n, m

Number of observations and number of degrees of freedom in the fitted model.

...

Other arguments (ignored).

Value

• The functions return a list of items r.squared and adj.r.squared.

Details

The default method finds the adjusted R-squared from the unadjusted R-squared, number of observations, and number of degrees of freedom in the fitted model. The specific methods find this information from the fitted result object. There are specific methods for rda, cca, lm and glm. Adjusted, or even unadjusted, R-squared may not be available in some cases, and then the functions will return NA. There is no adjusted R-squared in cca, in partial rda, and R-squared values are available only for gaussian models in glm.

References

Peres-Neto, P., P. Legendre, S. Dray and D. Borcard. 2006. Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology 87: 2614-2625.

See Also

varpart uses RsquareAdj.

Examples

data(mite)
data(mite.env)
## rda
m <- rda(decostand(mite, "hell") ~  ., mite.env)
RsquareAdj(m)
## default method
RsquareAdj(0.8, 20, 5)