Summary Method for class
"lmRob"
DESCRIPTION:
Returns a summary list for a robust linear model object of class
lmRob
. A null value is returned if printing is invoked.
USAGE:
summary.lmRob(object, correlation=T)
REQUIRED ARGUMENTS:
- object
-
an object of class
"lmRob"
.
OPTIONAL ARGUMENTS:
- correlation
-
logical flag: if
TRUE
, then the correlation matrix for the coefficients
is included in the summary.
VALUE:
a list is returned with the following components:
- sigma
-
the residual scale estimate.
- df
-
the number of degrees of freedom for the model and for the residuals.
- cov.unscaled
-
the unscaled covariance matrix; i.e, a matrix such that multiplying it by
an estimate of the error variance produces an estimated covariance matrix
for the coefficients.
- correlation
-
the correlation coefficient matrix for the coefficients in the model.
- ...
-
other components are the same as the corresponding components of an
lmRob
object. Use
names()
function to obtain a list of the components.
DETAILS:
This function is a method for the generic function
summary
for class
"lmRob"
. It can be invoked by calling
summary()
for an object of
class
"lmRob"
, or directly by calling
summary.lmRob()
, regardless
of the class of the object.
EXAMPLES:
oilcity.rob <- lmRob(Oil~Market, data=oilcity)
summary(oilcity.rob)