r.squared
R squared and adjusted R squared for panel models
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.
- Keywords
- htest
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.
Examples
# NOT RUN {
data("Grunfeld", package = "plm")
p <- plm(inv ~ value + capital, data = Grunfeld, model = "pooling")
r.squared(p)
r.squared(p, dfcor = TRUE)
# }