usage: pcoa.py [-h] [-f DATA_FILE] [-d {Jaccard,BrayCurtis,JSD}] [-b]
               [-n N_ARROWS] [-g GROUP_FILE]

optional arguments:
  -h, --help            show this help message and exit
  -f DATA_FILE, --file DATA_FILE
                        matrix data file. rows are variables, columns are
                        samples.
  -d {Jaccard,BrayCurtis,JSD}, --distance_metric {Jaccard,BrayCurtis,JSD}
                        choose distance metric used for PCoA.
  -b, --biplot          output biplot (with calculating factor loadings).
  -n N_ARROWS, --number_of_arrows N_ARROWS
                        how many top-contributing arrows should be drawed.
  -g GROUP_FILE, --grouping_file GROUP_FILE
                        plot samples by same colors and markers when they
                        belong to the same group. Please indicate Tab-
                        separated 'Samples vs. Group file' ( first columns are
                        sample names, second columns are group names ).