iedma: Prepares the matrix of euclidean distances.

In jbuxeda/cedma: Contribution to the euclidean distance matrix analysis

Description

This function assists in the process of importing a file with original landmarks coordinates for each studied individuals and transforming these data into the lower off-diagonal matrix of euclidean distance between all ladmarks coordinates for each individual placed in a single row. It also allows to import qualitative information for each individual resulting in factors in the new data frame.

Usage

iedma(x, p, k = 0, d = 2)

Arguments

x	A data frame containing the initial data of landmarks coordinates.
p	Number of landmarks.
k	Number of factors with qualitative information.
d	Number of dimensions of the lanmdmarks coordinates.

Value

A data frame with the lower off-diagonal matrix of euclidean distance between all ladmarks coordinates for each individual placed in a single row. If k factors with qualitative information are also imported, factors are place in the k first columns of the new data frame.

Examples

new_file_A <- iedma(original_file_A, p = 10)
new_file_B <- iedma(original_file_B, p = 10, k = 3)

jbuxeda/cedma documentation built on Sept. 8, 2018, 5:41 a.m.