Description Slots Methods Author(s) See Also
Object returned from a call to GeneSelection
rankings
:A list of matrices.
For the two-class case and the multi-class case
where a genuine multi-class method has been used
for variable selection, the length of the list is one.
Otherwise, it is named according to the different
binary scenarios (e.g. 1 vs 3
). Each list
element is a matrix
with rows corresponding to
iterations (different learningsets
) and columns
to variables.
Each row thus contains an index vector representing the order of the
variables with respect to their variable importance
(s. slot importance
)
importance
:A list of matrices, with the same structure as
described for the slot rankings
.
Each row of these matrices are ordered according to
rankings
and contain the variable importance
measure (absolute value of test statistic or regression
coefficient).
method
:Name of the method used for variable selection, s. GeneSelection
.
scheme
:The scheme used in the case of a non-binary
response, one of "pairwise"
, "one-vs-all"
or "multiclass"
.
Use show(genesel-object)
for brief information
Use toplist(genesel-object, k=10, iter = 1)
to display
the top first 10 variables and their variable importance
for the first iteration (first learningset),
s.toplist
.
Use plot(genesel-object, k=10, iter=1)
to display
a barplot of the variable importance of the top first 10
variables, s. plot,genesel-method
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
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