Usage
"summary"(object, correlation = FALSE, symbolic.cor = FALSE, ...)
"summary"(object, ...)
"print"(x, digits = max(3, getOption("digits") - 3), symbolic.cor = x$symbolic.cor,
signif.stars= getOption("show.signif.stars"), ...)
"summary"(object, intercept = FALSE, split, expand.split = TRUE, keep.zero.df = TRUE, ...)
"anova"(object, ...)
Arguments
object
an object of class "lm", usually, a result of a
call to lm. x
an object of class "summary.lm", usually, a result of a
call to summary.lm.
correlation
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed.
digits
the number of significant digits to use when printing.
symbolic.cor
logical. If TRUE, print the correlations in
a symbolic form (see symnum) rather than as numbers. signif.stars
logical. If TRUE, “significance stars”
are printed for each coefficient.
intercept
logical: should intercept terms be included?
split
an optional named list, with names corresponding to terms
in the model. Each component is itself a list with integer
components giving contrasts whose contributions are to be summed.
expand.split
logical: should the split apply also to
interactions involving the factor?
keep.zero.df
logical: should terms with no degrees of freedom
be included?
...
further arguments passed to or from other methods.