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ToDo
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=======================================================
Objective function: Wrug
Matrix: SRand50.csv
Permutation vector: PRand50.csv
=======================================================
Wrug is ASYMMETRIC!
41 29 8 0 20 19 34 39 30 48 17 21 37 15 13 2 10 7 43 47 49 16 28 23 44 11 42 46 9 35 18 31 1 32 40 14 6 4 26 5 36 45 33 38 3 25 12 22 24 27
Wrug 3456
REVERSE ORDER:
27 24 22 12 25 3 38 33 45 36 5 26 4 6 14 40 32 1 31 18 35 9 46 42 11 44 23 28 16 49 47 43 7 10 2 13 15 37 21 17 48 30 39 34 19 20 0 8 29 41
Wrug 3270 <---- DIFFERS!
REVERSE ORDER:
41 29 8 0 20 19 34 39 30 48 17 21 37 15 13 2 10 7 43 47 49 16 28 23 44 11 42 46 9 35 18 31 1 32 40 14 6 4 26 5 36 45 33 38 3 25 12 22 24 27
Wrug 3456 <---- SAME AS ORIGINAL
=======================================================
=======================================================
Objective function: Wrwg
Matrix: SRand50.csv
Permutation vector: PRand50.csv
=======================================================
41 29 8 0 20 19 34 39 30 48 17 21 37 15 13 2 10 7 43 47 49 16 28 23 44 11 42 46 9 35 18 31 1 32 40 14 6 4 26 5 36 45 33 38 3 25 12 22 24 27
Wrwg 1688.6409750105602
27 24 22 12 25 3 38 33 45 36 5 26 4 6 14 40 32 1 31 18 35 9 46 42 11 44 23 28 16 49 47 43 7 10 2 13 15 37 21 17 48 30 39 34 19 20 0 8 29 41
Wrwg 1665.1851835710418
41 29 8 0 20 19 34 39 30 48 17 21 37 15 13 2 10 7 43 47 49 16 28 23 44 11 42 46 9 35 18 31 1 32 40 14 6 4 26 5 36 45 33 38 3 25 12 22 24 27
Wrwg 1688.6409750105602
=======================================================
Wrcwg IS OK
Wrcug IS OK
%%%%%%%%%%%%%%%%%%%%%%
sim.go: some fns are distances!!!
=======================================================
install all my sw !!!
=======================================================
R: install all relevant pkgs (ade4, seriation, vegan, labdsv, momocs, decostand, wisconsin, ...)
and download pdf manuals
=======================================================
cc has PROBLEM! When spec < samp
./coenocline -n 100 -m 20 -os 1.5 -pm 100 -ps 5 -tm 0.8 -ts 5 -z 1 > cc100x20sp.csv
Nei distance is not always symmetric (R:ade4:dist.prop)
Edwards has problems with NaNs.
Sforza has problems with NaNs.
Maybe we should always put zeros to the main diagonal
Q --> props --> heatmap
//prop dist matrices -->performance
Implement(R:ade4:dist.genet)
Implement upper/lower triangle for asymmetric costs.
panic("similarity matrix not symmetric") ===> warning
find awk mean std