Summary Method for Robust Principal Components Objects
DESCRIPTION:
Produces a summary that shows the importance of the components, and, optionally, some or all of the loadings.
USAGE:
summary.princompRob(x, loadings=F, cutoff=0.1)
REQUIRED ARGUMENTS:
- x
-
an object of class
"princompRob"
.
OPTIONAL ARGUMENTS:
- loadings
-
a logical value or an integer stating the number of components for which loadings will be given. If loadings is FALSE, then no loadings will be given.
- cutoff
-
a number giving the cutoff for printing the loadings (see
).
VALUE:
an object of class
summary.princompRob
having components:
- varmat
-
a matrix with rows containing the standard deviations of the components, the proportion of variance, and the cumulative proportion of variance.
- loadings
-
part or all of the loadings matrix of
x
. This may be NULL depending on the value of the loadings argument.
- cutoff
-
the input value of cutoff.
DETAILS:
This is the
princompRob
function for the generic function
summary
.
SEE ALSO:
,
.
EXAMPLES:
summary(princompRob(stack.dat), loadings = T, cutoff = .2)