Calculate the sum of features for each flow
pf_flow_sum.Rd
Sums the phylogenetic flow features for each flow
in a pfc
, returning a vector of values.
Examples
pf_flow_sum(rpfc(100))
#> t67 t93 t81 t92 t72 t73 t23 t83
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t40 t84 t63 t15 t98 t97 t100 t22
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t14 t85 t1 t27 t54 t69 t77 t75
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t82 t60 t51 t47 t31 t99 t76 t34
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t2 t35 t16 t70 t46 t58 t3 t37
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t91 t74 t36 t71 t78 t62 t21 t42
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t64 t11 t20 t18 t56 t52 t9 t96
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t13 t66 t33 t28 t38 t43 t24 t79
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t45 t32 t4 t55 t25 t7 t94 t48
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t50 t59 t61 t39 t5 t6 t26 t90
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t49 t53 t68 t89 t57 t88 t10 t41
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t30 t86 t8 t17 t12 t87 t29 t44
#> 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534 1.576534
#> t95 t19 t65 t80 Node2 Node3 Node4 Node5
#> 1.576534 1.576534 1.576534 1.576534 1.008974 1.212507 1.276281 1.277970
#> Node6 Node7 Node8 Node9 Node10 Node11 Node12 Node13
#> 1.355304 1.376651 1.380992 1.387896 1.399504 1.430262 1.438981 1.452485
#> Node14 Node15 Node16 Node17 Node18 Node19 Node20 Node21
#> 1.453255 1.477558 1.486610 1.489831 1.490848 1.490976 1.500334 1.504592
#> Node22 Node23 Node24 Node25 Node26 Node27 Node28 Node29
#> 1.505968 1.508699 1.513668 1.517314 1.517394 1.518501 1.525898 1.526039
#> Node30 Node31 Node32 Node33 Node34 Node35 Node36 Node37
#> 1.528349 1.530278 1.536275 1.537922 1.538692 1.539159 1.543480 1.545151
#> Node38 Node39 Node40 Node41 Node42 Node43 Node44 Node45
#> 1.545396 1.545423 1.549210 1.550052 1.551560 1.551892 1.552226 1.553348
#> Node46 Node47 Node48 Node49 Node50 Node51 Node52 Node53
#> 1.553703 1.555139 1.556349 1.558312 1.558668 1.558984 1.559031 1.559492
#> Node54 Node55 Node56 Node57 Node58 Node59 Node60 Node61
#> 1.560157 1.560465 1.561129 1.561392 1.561952 1.562005 1.562256 1.563418
#> Node62 Node63 Node64 Node65 Node66 Node67 Node68 Node69
#> 1.563440 1.563633 1.563947 1.564180 1.566007 1.567398 1.567548 1.567662
#> Node70 Node71 Node72 Node73 Node74 Node75 Node76 Node77
#> 1.569419 1.569589 1.569757 1.569992 1.570241 1.570278 1.571104 1.571406
#> Node78 Node79 Node80 Node81 Node82 Node83 Node84 Node85
#> 1.571685 1.571817 1.571985 1.572235 1.572279 1.572990 1.573030 1.573342
#> Node86 Node87 Node88 Node89 Node90 Node91 Node92 Node93
#> 1.573541 1.573759 1.574324 1.574426 1.574599 1.574790 1.574811 1.574923
#> Node94 Node95 Node96 Node97 Node98 Node99
#> 1.575046 1.575667 1.575770 1.575859 1.576105 1.576431