Extract rfPermute Importance Scores and p-values.
Extract a matrix of the observed importance scores
and p-values from the object produced by a call to rfPermute
rp.importance(x, scale = TRUE, sort.by = NULL, decreasing = TRUE)
x |
An object produced by a call to |
scale |
For permutation based measures, should the measures be divided their "standard errors"? |
sort.by |
character vector giving the importance metric(s) or p-values
to sort by. If |
decreasing |
logical. Should the sort order be increasing or decreasing? |
p-values can be given to the sort.by argument by adding
'.pval' to the column name of the desired column from the importance
element of the rfPermute object.
Eric Archer eric.archer@noaa.gov
# A regression model using the ozone example ozone.rfP <- rfPermute( Ozone ~ ., data = airquality, ntree = 100, na.action = na.omit, nrep = 50, num.cores = 1 ) imp.unscaled <- rp.importance(ozone.rfP, scale = TRUE) imp.unscaled imp.scaled <- rp.importance(ozone.rfP, scale = TRUE) imp.scaled
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