Slots
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"
.
Methods
- show
- Use
show(genesel-object) for brief information - toplist
- 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. - plot
- 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