Description Usage Arguments Value Examples
Because rpv_indices()
is deterministic, it may not present the
minimum set that represents all variables. This procedure automates the
process of randomly sampling the rows in the incoming matrix without
replacement to find a minimum set.
1 |
tab |
a numeric matrix with rownames |
n |
the number of permutations to perform |
sort |
when |
cut |
when |
progress |
when |
a list of character vectors
1 2 3 4 5 6 7 8 | data(monilinia)
# Iterate over the data 100 times and return only the minimum values
set.seed(2018)
rpv_find(monilinia, n = 100, cut = TRUE, progress = FALSE)
# This is a random process and will not always return the same values
set.seed(201)
rpv_find(monilinia, n = 100, cut = TRUE, progress = FALSE)
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