lm.summaries              package:base              R Documentation

Accessing Linear Model Fits

Description:

     All these functions are `methods' for class `"lm"'  objects.

Usage:

     coefficients(object, ...) ; \method

Arguments:

object, x: an object of class `lm', usually, a result of a call to
          `lm'.

     ...: further arguments passed to or from other methods.

Details:

     The generic accessor functions `coefficients', `effects',
     `fitted.values' and `residuals' can be used to extract various
     useful features of the value returned by `lm'.

See Also:

     The model fitting function `lm', `anova.lm'.

     `coefficients', `deviance', `df.residual', `effects',
     `fitted.values', `glm' for generalized linear models,
     `lm.influence' for regression diagnostics, `weighted.residuals',
     `residuals', `residuals.glm', `summary.lm'.

Examples:

     ##-- Continuing the  lm(.) example:
     coef(lm.D90)# the bare coefficients

     ## The 2 basic regression diagnostic plots [plot.lm(.) is preferred]
     plot(resid(lm.D90), fitted(lm.D90))# Tukey-Anscombe's
     abline(h=0, lty=2, col = 'gray')

     qqnorm(residuals(lm.D90))

