The functions finds the adjusted R-square.
1 2 3 4
Unadjusted R-squared or an object from which the terms for evaluation or adjusted R-squared can be found.
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
or even unadjusted, R-squared may not be available in some cases,
and then the functions will return
NA. There is no adjusted
cca, in partial
R-squared values are available only for
The raw R-squared of partial
rda gives the
proportion explained after removing the variation due to conditioning
(partial) terms; Legendre et al. (2011) call this semi-partial
R-squared. The adjusted R-squared is found as
the difference of adjusted R-squared values of joint effect
of partial and constraining terms and partial term alone, and it is
the same as the adjusted R-squared of component
[a] = X1|X2 in two-component variation partition in
The functions return a list of items
Legendre, P., Oksanen, J. and ter Braak, C.J.F. (2011). Testing the significance of canonical axes in redundancy analysis. Methods in Ecology and Evolution 2, 269–277.
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.
1 2 3 4 5 6 7
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.