View source: R/double_center_distance_matrix.R
| double_center_distance_matrix | R Documentation |
Generates a double-centered matrix (row and column means are zero) from the weights of a distance matrix (see weights_from_distance_matrix()) and a distance threshold. This is a required step before the computation of Moran's Eigenvector Maps.
double_center_distance_matrix ( distance.matrix = NULL, distance.threshold = 0 )
distance.matrix |
Distance matrix. Default: |
distance.threshold |
Numeric, positive, in the range of values of |
A double-centered matrix of the same dimensions as x.
weights_from_distance_matrix(), mem(), mem_multithreshold()
if(interactive()){
#loading the distance matrix
data(distance_matrix)
x <- double_center_distance_matrix(
distance.matrix = distance_matrix
)
x
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.