lm.summaries {base} | R Documentation |
All these functions are methods
for class "lm"
objects.
## S3 method for class 'lm'
coefficients(object, ...) ;
object , x |
an object of class |
... |
further arguments passed to or from other methods. |
The generic accessor functions coefficients
, effects
,
fitted.values
and residuals
can be used to extract
various useful features of the value returned by lm
.
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
.
##-- 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))