r.squared: R squared and adjusted R squared for panel models
Description
This function computes R squared or adjusted R squared for plm objects. It
allows to define on which transformation of the data the (adjusted) R
squared is to be computed and which method for calculation is used.
Usage
r.squared(object, model = NULL, type = c("cor", "rss", "ess"),
dfcor = FALSE)
Arguments
object
an object of class "plm",
model
on which transformation of the data the R-squared is to be
computed. If NULL, the transformation used to estimate the model is
also used for the computation of R squared,
type
indicates method which is used to compute R squared. One of
"rss" (residual sum of squares), "ess" (explained sum of
squares), or "cor" (coefficient of correlation between the fitted
values and the response),
dfcor
if TRUE, the adjusted R squared is computed.
Value
A numerical value. The R squared or adjusted R squared of the model
estimated on the transformed data, e. g. for the within model the so called
"within R squared".
See Also
plm() for estimation of various models;
summary.plm() which makes use of r.squared.
# NOT RUN {data("Grunfeld", package = "plm")
p <- plm(inv ~ value + capital, data = Grunfeld, model = "pooling")
r.squared(p)
r.squared(p, dfcor = TRUE)
# }