beta: Calculate Beta Irreplaceability
In proxirr: Alpha and Beta Proximity to Irreplaceability

Description Usage Arguments Value Author(s) Examples

View source: R/alphabeta.R

This function calculates Beta irreplaceability. Inputs can be either a vector of Alpha values, or a data.frame containing all necessary parameters needed to calculate Alpha values on a row-by-row basis.

Vector Beta measurement: If data is a vector of Alpha irreplaceability values, a single Beta value will be calculated and returned.
Dataframe Beta measurement: If data is a data.frame and local, global and target are strings representing field names in data, a vector of Alpha irreplaceability values will be caluclated using these fields, and a Beta irreplaceability value will be calculated on these, and returned.

beta(
  data,
  local = NULL,
  global = NULL,
  target = NULL,
  triage = FALSE,
  na.rm = TRUE
)

`data`	vector or data.frame - The input over which to calculate Beta.
`local`	string - The name of the column containing the feature's representation at the site. Needed if data is a `data.frame`
`global`	string - The name of the column containing the feature's total available representation. Needed if data is a `data.frame`
`target`	string - The name of the column containing the feature's target. Needed if data is a `data.frame`
`triage`	logical - Should features with unachievable targets be ignored? Defaults to FALSE. If FALSE, these species will be always assigned an Alpha irreplaceability of 1 wherever they occur. If TRUE, these species will always be assigned an Alpha irreplaceabiltiy of 0.
`na.rm`	logical - Should lines with missing values (NA) be ignored? If data is a `vector`, NA values will be removed when calculating Beta. If data is a `data.frame`, Alpha values will be calculated using `alpha` with `na.allow` set to TRUE, and then Beta calculated ignoring `NA` values.

A number

Daniele Baisero, daniele.baisero@gmail.com

beta(c(0.01, 0.5, 0.5))
dtfrm = data.frame(
  loc = c(1,25,45),
  glob = c(100,100,100),
  targ = c(50,50,50)
)
beta(dtfrm, local = 'loc', global = 'glob', target = 'targ')