Adjusted R-square value of a fitted model
Rsq.ad(object)
object |
a fitted model. |
R_{adj}^2 = 1 - \frac{n - 1}{n - p} \cdot (1 - R^2)
with n = sample size, p = number of parameters.
The adjusted R_{adj}^2 value of the fit.
Andrej-Nikolai Spiess
## Single model. m1 <- pcrfit(reps, 1, 2, l7) Rsq.ad(m1) ## Compare different models with increasing ## number of parameters. ml1 <- lapply(list(l4, l5, l6), function(x) pcrfit(reps, 1, 2, x)) sapply(ml1, function(x) Rsq.ad(x))
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.