Replaces corresponding functions in base package.
# S3 method for lmp
summary(object, correlation = FALSE, symbolic.cor = FALSE, ...)
# S3 method for mlmp
summary(object, ...)
# S3 method for summary.lmp
print(x, digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars= getOption("show.signif.stars"), ...)
# S3 method for aovp
summary(object, intercept = FALSE, split,
expand.split = TRUE, keep.zero.df = TRUE, ...)
# S3 method for lmp
anova(object, ...)Same as for the corresponding functions in base package:
an object of class "lm", usually, a result of a
call to lm.
an object of class "summary.lm", usually, a result of a
call to summary.lm.
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed.
the number of significant digits to use when printing.
logical. If TRUE, print the correlations in
a symbolic form (see symnum) rather than as numbers.
logical. If TRUE, “significance stars”
are printed for each coefficient.
logical: should intercept terms be included?
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.
logical: should the split apply also to interactions involving the factor?
logical: should terms with no degrees of freedom be included?
further arguments passed to or from other methods.
Bob Wheeler rwheeler@echip.com
These modified functions are needed because the perm values, which are attached to the object, replace the usual test columns in the output from these functions.