mFD (version 1.0.7)

dist.to.df: Merge distance object(s) into a single data frame

Description

This function merges distance object(s) into a single data frame which rows are pairs of elements and column(s) distance metric(s). It stands on the dist_long function.

Usage

dist.to.df(list_dist)

Value

A data frame which first and second columns (names x1 and x2) contain names of the 2 sets involved in each pair, and with one column for each dist object (named after its name in list_dist.

Arguments

list_dist

a list of dist object(s). All dist objects should have a name (e.g. name of distance metric) and the same labels (i.e. names of sets between which distance was computed).

Author

Sebastien Villeger

Examples

# Create dist objects: 
dist_A <- round(dist(matrix(runif(10, 0, 1), 5, 2, 
                      dimnames = list(letters[1:5], NULL))), 2)
dist_B <- round(dist(matrix(runif(10, 0, 1), 5, 2, 
                      dimnames = list(letters[1:5], NULL))), 2)
dist_C <- round(dist(matrix(runif(10, 0, 1), 5, 2, 
                      dimnames = list(letters[1:5], NULL))), 2)

# First example with only 1 distance:
dist.to.df(list(dA = dist_A))

# Second example with 3 distances:
dist.to.df(list(d1 = dist_A, d2 = dist_B, d3 = dist_C))