MASS (version 7.3-13)

summary.rlm: Summary Method for Robust Linear Models

Description

summary method for objects of class "rlm"

Usage

## S3 method for class 'rlm':
summary(object, method = c("XtX", "XtWX"), correlation = FALSE, ...)

Arguments

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.

method

Should the weighted (by the IWLS weights) or unweighted cross-products matrix be used?

correlation

logical. Should correlations be computed (and printed)?

...

arguments passed to or from other methods.

Value

• 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.
• 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.
• stddev
  A scale estimate used for the standard errors.
• 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.

Details

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.

References

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

See Also

summary

Examples

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