rpv_find: Iteratively find minimum set of samples by shuffling rows
In zkamvar/repvar: Extract Samples to Represent All Variables

Description Usage Arguments Value Examples

View source: R/find_samples.R

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	rpv_find(tab, n = 10, sort = TRUE, cut = FALSE, progress = TRUE)

`tab`	a numeric matrix with rownames
`n`	the number of permutations to perform
`sort`	when `TRUE` (default), the returned list will be sorted in order of number of samples.
`cut`	when `TRUE`, only the results with the minimum number of samples will be returned.
`progress`	when `TRUE`, a progress bar will be displayed.

a list of character vectors

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)