| RsquareAdj {vegan} | R Documentation |
The functions finds the adjusted R-square.
## Default S3 method: RsquareAdj(x, n, m, ...) ## S3 method for class 'rda': RsquareAdj(x, ...)
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). |
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 unandjusted, 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.
The functions return a list of items r.squared and
adj.r.squared.
Peres-Neto, P., P. Legendre, S. Dray and D. Borcard. 2006. Variation partioning of species data matrices: estimation and comparison of fractions. Ecology 87: 2614-2625.
varpart uses RsquareAdj.
data(mite) data(mite.env) ## rda m <- rda(decostand(mite, "hell") ~ ., mite.env) RsquareAdj(m) ## default method RsquareAdj(0.8, 20, 5)