get.subsets {dispRity}

Extracts or modify subsets from a dispRity object.

Description

Extracting or modify some subsets' data and information from a dispRity object.

Usage

n.subsets(data)

name.subsets(data)

size.subsets(data)

get.subsets(data, subsets)

combine.subsets(data, subsets)

Arguments

data

A dispRity object.

subsets

Either a vector of the number or name of the subsets to merge or a single. But see details for combine.subsets.

Details

For the function combine.subsets, the argument subsets can ALSO be a numeric value of the minimum of elements for each series. If subset is a vector, the subsets are merged in the given input order. c(1, 3, 4) will merge subsets 1 and 3 into 4, while the opposite, c(3, 4, 1) will merge subsets 3 and 4 into 1. When a single numeric value is given, subsets are merged with the next subset until the correct number of elements for each subset is reached (apart from the last subset that gets merged with the previous one).

Author(s)

Thomas Guillerme

See Also

dispRity, get.disparity.

Examples

## Load the disparity data based on Beck & Lee 2014
data(disparity)

## How many subsets are in disparity?
n.subsets(disparity)

## What are the subset names
name.subsets(disparity)

## What are the number of elements per subsets?
size.subsets(disparity)

## Get one subset
get.subsets(disparity, "60")

## Get two subsets
get.subsets(disparity, c(1,5))

## Generate subsets from a dummy matrix
dummy_matrix <- matrix(rnorm(120), 40, dimnames = list(c(1:40)))
dummy_subsets <- custom.subsets(dummy_matrix,
     group = list("a" = c(1:5), "b" = c(6:10), "c" = c(11:20),
                  "d" = c(21:24), "e" = c(25:30), "f" = c(31:40)))

## Merging the two first subsets
combine.subsets(dummy_subsets, c(1,2))

## Merging the three subsets by name
combine.subsets(dummy_subsets, c("d", "c", "e"))

## Merging the subsets to contain at least 20 taxa
combine.subsets(dummy_subsets, 10)