Create a weighted co-occurrence vector (wecove)

Source: R/get_wecove.R

Converts a weighted co-occurrence matrix (wecoma) to a weighted co-occurrence vector (wecove)

get_wecove(x, ordered = TRUE, normalization = "none")

Arguments

x

A matrix - an output of the get_wecoma() function
ordered

The type of pairs considered. Either "ordered" (TRUE) or "unordered" (FALSE). The default is TRUE.
normalization

Should the output vector be normalized? Either "none" or "pdf". The "pdf" option normalizes a vector to sum to one. The default is "none".

Value

A weighted co-occurrence vector

Examples

library(comat)
data(raster_x, package = "comat")
data(raster_w, package = "comat")

wom = get_wecoma(raster_x, raster_w)
wom
#>      1    2    3
#> 1 12.0  5.0 13.5
#> 2  5.0 12.0 14.5
#> 3 13.5 14.5 49.0

wov = get_wecove(wom)
wov
#>      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
#> [1,]   12    5 13.5    5   12 14.5 13.5 14.5   49