createDistMatrix {ddc} | R Documentation |
Create the dataframe of the Dissimilarity matrix
Description
Use the DTW to generate the matrix
Usage
createDistMatrix(standard_matrix, output_dir = NULL, mc.cores = 1, ...)
Arguments
standard_matrix |
the matrix genereated by function 'createStandardMatrix' |
output_dir |
the file to save the dissimilarity matrix data |
mc.cores |
the number of cores would be used in parallel |
... |
the same parameters which would be used in 'dtw' for calculating the distances of events |
Value
the matrix, which describes pairwise distinction between M objects. It is a square symmetrical 'MxM' matrix with the (ij)th element equal to the value of a chosen measure of distinction between the (i)th and the (j)th object.
Examples
original_data <- data.frame("1"=c(1, 2, 1), "2"=c(5,6,7),
"3"=c(4, 5, 8), "4"=c(3, 1, 9))
standard_matrix <- createStandardMatrix(data = original_data)
dist_matrix <- createDistMatrix(standard_matrix = standard_matrix)
[Package ddc version 1.0.1 Index]