Nothing
Rsq <-
function(model)
{
if (!inherits(model, c("lm", "aov", "nls")))
stop ("'Rsq' is only applied to the classes: 'lm', 'aov' or 'nls'.")
if (inherits(model, c("glm", "manova", "maov", "mlm")))
stop("'Rsq' is not applied to an object of this class!")
pred <- predict(model)
n <- length(pred)
res <- resid(model)
w <- weights(model)
if (is.null(w)) w <- rep(1, n)
rss <- sum(w * res ^ 2)
resp <- pred + res
center <- weighted.mean(resp, w)
if (inherits(model, c("lm", "aov"))) {
r.df <- model$df.residual
int.df <- attr(model$terms, "intercept")
if (int.df) {
mss <- sum(w * scale(pred, scale = FALSE)^2)
} else {
mss <- sum(w * scale(pred, center = FALSE,
scale = FALSE)^2)
}
r.sq <- mss / (mss + rss)
adj.r.sq <- 1 - (1 - r.sq) * (n - int.df) / r.df
out <- list(R.squared = r.sq, adj.R.squared = adj.r.sq)
} else {
r.df <- summary(model)$df[2]
int.df <- 1
tss <- sum(w * (resp - center)^2)
r.sq <- 1 - rss/tss
adj.r.sq <- 1 - (1 - r.sq) * (n - int.df) / r.df
out <- list(pseudo.R.squared = r.sq,
adj.R.squared = adj.r.sq)
}
class(out) <- "Rsq"
return(out)
}
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