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.
r.squared(object, model = NULL, type = c("cor", "rss", "ess"), dfcor = FALSE)
an object of class "plm"
,
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,
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),
if TRUE
, the adjusted R squared is computed.
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".
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) # }
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