summary {lmPerm} | R Documentation |
Replaces corresponding functions in base package.
summary.lmp(object, correlation = FALSE, symbolic.cor = FALSE, ...) summary.mlmp(object, ...) print.summary.lmp(x, digits = max(3, getOption("digits") - 3), symbolic.cor = x$symbolic.cor, signif.stars= getOption("show.signif.stars"), ...) summary.aovp(object, intercept = FALSE, split, expand.split = TRUE, keep.zero.df = TRUE, ...) anova.lmp(object, ...)
Same as for the corresponding functions in base package:
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. |
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.
Bob Wheeler rwheeler@echip.com