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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