summary method for objects of class "rlm"
# S3 method for rlm
summary(object, method = c("XtX", "XtWX"), correlation = FALSE, …)the fitted model.
This is assumed to be the result of some fit that produces
an object inheriting from the class rlm, in the sense that
the components returned by the rlm function will be available.
Should the weighted (by the IWLS weights) or unweighted cross-products matrix be used?
logical. Should correlations be computed (and printed)?
arguments passed to or from other methods.
If printing takes place, only a null value is returned.
Otherwise, a list is returned with the following components.
Printing always takes place if this function is invoked automatically
as a method for the summary function.
The computed correlation coefficient matrix for the coefficients in the model.
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.
The scale estimate.
A scale estimate used for the standard errors.
The number of degrees of freedom for the model and for residuals.
A matrix with three columns, containing the coefficients, their standard errors and the corresponding t statistic.
The terms object used in fitting this model.
This function is a method for the generic function
summary() for class "rlm".
It can be invoked by calling summary(x) for an
object x of the appropriate class, or directly by
calling summary.rlm(x) regardless of the
class of the object.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
# NOT RUN {
summary(rlm(calls ~ year, data = phones, maxit = 50))
# }
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