Description Usage Arguments Value Examples
Compute stir statistics for attributes given nearest hit/miss matrix
1 2 |
attr.mat |
m x p matrix of m instances and p attributes |
neighbor.idx |
nearest hit/miss matrices, output from |
method |
neighborhood method [ |
m |
optional number of instances |
k |
number of nearest hits/misses for |
metric |
for distance matrix between instances ( |
transform |
transformation of distances ( |
rs.list: OriRelief (original Relief score), STIR_T (t-stat stur), STIR_F (F-stat stir)
1 2 3 4 5 6 7 | #See vignette("STIRvignette")
RF.method = "multisurf"
metric <- "manhattan"
neighbor.idx.observed <- find.neighbors(predictors.mat, pheno.class, k = 0, method = RF.method)
results.list <- stir(predictors.mat, neighbor.idx.observed, k = k, metric = metric, method = RF.method)
t_sorted_multisurf <- results.list$STIR_T
t_sorted_multisurf$attribute <- rownames(t_sorted_multisurf)
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