feature_hist: Plot histogram of feature prevalence
In iteremoval: Iteration removal method for feature selection

Description Usage Arguments Value Examples

View source: R/plots.R

Compute the feature prevalence (present in different cutoffs) after removing the features of the first index iterations, and then plot the histogram of remaining features. It calls feature_prevalence(..., hist.plot=TRUE).

1	feature_hist(li, index)

`li`	the list result of `feature_removal`.
`index`	removing the features of the first `index` iterations. It allows a positive integer or a proper fraction. If inproper fraction, it is regarded as `as.integer(index)`.

histogram

g1 <- SWRG1; g0 <- SWRG0

result.complex <- feature_removal(g1, g0,
    cutoff1=0.95, cutoff0=0.925,
    offset=c(0.5, 1, 2))

# index is a proportion in 0-1
feature_hist(result.complex, 0.5)

# index is a positive integer
feature_hist(result.complex, 233)