Last chance! 50% off unlimited learning
Sale ends in
The R2 measure of determination for linear models
R2(object,...)
# S3 method for lm
R2(object,...,adjust=TRUE,ref=0)
# S3 method for default
R2(object,...,ref=0)
The R2 measure of determination.
a statistical model
further not yet used parameters
Logical, whether the estimate of R2 should be adjusted for the degrees of freedom of the model.
A reference model for computation of a relative
K.Gerald v.d. Boogaart http://www.stat.boogaart.de
The
and provides the portion of variance explained by the model. It is a number between 0 and 1, where 1 means the model perfectly explains the data and 0 means that the model has no better explanation of the data than a constant mean. In case of multivariate models metric variances are used.
If a reference model is given by ref
, the variance of the
residuals of that models rather than the variance of the data is
used. The value of such a relative
If adjust=TRUE
the unbiased estiamators for the variances are
used, to avoid the automatisme that a more parameters automatically
lead to a higher
data(Orange)
R2(lm(circumference~age,data=Orange))
R2(lm(log(circumference)~log(age),data=Orange))
Run the code above in your browser using DataLab