| summary.rlm(MASS) | R Documentation |
summary method for objects of class "rlm"
summary.rlm(object, print.it=TRUE, digits=4)
object |
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.
|
print.it |
optional argument. If false, the standard printing will not take place, and instead a structure will be returned with components containing the important computed for summarizing, as below. |
digits |
the number of digits to be used in printing summaries, in the sense
of the argument to print of the same name.
|
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.
summary function.
correlation |
The computed correlation coefficient matrix for the coefficients in the model. |
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. |
sigma |
The scale estimate. |
df |
The number of degrees of freedom for the model and for residuals. |
coefficients |
A matrix with three columns, containing the coefficients, their standard errors and the corresponding t statistic. |
terms |
The terms object used in fitting this model. |
data(phones)
summary(rlm(calls ~ year, data=phones, maxit=50))
Call:
rlm(formula = calls ~ year, data = phones, maxit = 50)
Residuals:
Min 1Q Median 3Q Max
-18.31 -5.95 -1.68 26.46 173.77
Coefficients:
Value Std. Error t value
(Intercept) -102.622 26.553 -3.86
year 2.041 0.429 4.76
Residual standard error: 9.03 on 22 degrees of freedom
Correlation of Coefficients:
[1] -0.994