prune.data {rmcfs} | R Documentation |
Filters input data
Description
Selects columns from input data based on the highest RIs of attributes.
Usage
prune.data(x, mcfs_result, size = NA)
Arguments
x |
input data.frame. |
mcfs_result |
result from |
size |
number of top features to select from input data. If |
Value
data.frame with selected columns.
Examples
## Not run: ###dontrunbegin
# create input data
adata <- artificial.data(rnd_features = 10)
showme(adata)
# Parametrize and run MCFS-ID procedure
result <- mcfs(class~., adata, cutoffPermutations = 0, featureFreq = 10,
finalCV = FALSE, finalRuleset = FALSE, threadsNumber = 2)
head(prune.data(adata, result, size = result$cutoff_value))
## End(Not run)###dontrunend
[Package rmcfs version 1.3.5 Index]