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))
#> t28 t60 t84 t47 t38 t50 t44 t8
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t12 t25 t49 t94 t33 t100 t22 t10
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t67 t56 t64 t45 t51 t31 t32 t61
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t62 t39 t90 t26 t52 t14 t58 t83
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t53 t43 t80 t82 t57 t4 t35 t69
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t42 t86 t18 t68 t46 t55 t76 t21
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t1 t93 t6 t96 t9 t74 t3 t81
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t97 t89 t77 t95 t88 t99 t23 t27
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t5 t98 t13 t29 t34 t30 t16 t59
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t70 t2 t75 t15 t24 t54 t36 t41
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t17 t71 t72 t63 t65 t85 t19 t37
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t20 t79 t40 t7 t66 t92 t87 t73
#> 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849 2.524849
#> t78 t11 t48 t91 Node2 Node3 Node4 Node5
#> 2.524849 2.524849 2.524849 2.524849 1.600015 1.849510 2.077204 2.166047
#> Node6 Node7 Node8 Node9 Node10 Node11 Node12 Node13
#> 2.216173 2.247434 2.258656 2.300856 2.317047 2.336401 2.375109 2.386223
#> Node14 Node15 Node16 Node17 Node18 Node19 Node20 Node21
#> 2.388927 2.399792 2.404574 2.413748 2.424493 2.446792 2.449853 2.450995
#> Node22 Node23 Node24 Node25 Node26 Node27 Node28 Node29
#> 2.451827 2.466000 2.468222 2.469356 2.471918 2.475541 2.476676 2.477020
#> Node30 Node31 Node32 Node33 Node34 Node35 Node36 Node37
#> 2.478602 2.481502 2.481622 2.483562 2.484735 2.486067 2.486348 2.486914
#> Node38 Node39 Node40 Node41 Node42 Node43 Node44 Node45
#> 2.489070 2.489797 2.491706 2.491798 2.493172 2.493182 2.493767 2.496138
#> Node46 Node47 Node48 Node49 Node50 Node51 Node52 Node53
#> 2.497770 2.499372 2.500536 2.500704 2.501300 2.502131 2.504989 2.505115
#> Node54 Node55 Node56 Node57 Node58 Node59 Node60 Node61
#> 2.505664 2.506099 2.507023 2.507370 2.508864 2.508985 2.509281 2.509510
#> Node62 Node63 Node64 Node65 Node66 Node67 Node68 Node69
#> 2.509996 2.513077 2.513169 2.513367 2.513855 2.513933 2.514045 2.514052
#> Node70 Node71 Node72 Node73 Node74 Node75 Node76 Node77
#> 2.514359 2.514361 2.514364 2.514399 2.514461 2.514650 2.514855 2.514901
#> Node78 Node79 Node80 Node81 Node82 Node83 Node84 Node85
#> 2.515237 2.517630 2.519172 2.519809 2.519858 2.520190 2.520590 2.520719
#> Node86 Node87 Node88 Node89 Node90 Node91 Node92 Node93
#> 2.520895 2.522476 2.523273 2.523322 2.523474 2.523572 2.523677 2.524155
#> Node94 Node95 Node96 Node97 Node98 Node99
#> 2.524256 2.524317 2.524371 2.524553 2.524715 2.524831