Skip to contents

Extract mean edge features from pfc object

Usage

pf_mean_edge_features(x)

Arguments

x

pfc object

Value

A numeric vector of mean edge features

Examples

pf_mean_edge_features(rpfc(100))
#>            1            2            3            4            5            6 
#> 7.803072e-01 1.199872e+00 4.892484e-03 1.432011e-02 1.931246e-02 2.150262e-02 
#>            7            8            9           10           11           12 
#> 2.168329e-02 1.165601e-01 4.750903e-03 7.705144e-03 2.954241e-03 2.954241e-03 
#>           13           14           15           16           17           18 
#> 9.896226e-02 1.025819e-01 3.619656e-03 3.619656e-03 5.313294e-02 6.435771e-02 
#>           19           20           21           22           23           24 
#> 3.821331e-02 4.763576e-02 1.446190e-02 1.446190e-02 2.179196e-02 2.243813e-02 
#>           25           26           27           28           29           30 
#> 1.446229e-03 1.446229e-03 2.092395e-03 2.092395e-03 7.332243e-02 7.332243e-02 
#>           31           32           33           34           35           36 
#> 3.901581e-02 2.195287e-02 1.310195e-01 4.049294e-02 2.694769e-02 8.516679e-02 
#>           37           38           39           40           41           42 
#> 7.582865e-03 2.362837e-03 5.220027e-03 5.220027e-03 1.293315e-02 5.080081e-02 
#>           43           44           45           46           47           48 
#> 1.500116e-02 6.114166e-03 8.886991e-03 8.886991e-03 4.599425e-02 5.286881e-02 
#>           49           50           51           52           53           54 
#> 6.874559e-03 6.874559e-03 2.223137e-03 2.223137e-03 9.936351e-02 8.279991e-02 
#>           55           56           57           58           59           60 
#> 1.154721e-02 1.599925e-02 1.738049e-02 1.738049e-02 2.183253e-02 2.183253e-02 
#>           61           62           63           64           65           66 
#> 1.681614e-02 1.673397e-02 8.216664e-05 8.216664e-05 4.167815e-02 2.742926e-01 
#>           67           68           69           70           71           72 
#> 3.053601e-01 5.765737e-02 9.906697e-02 1.946019e-01 2.511805e-03 3.222124e-03 
#>           73           74           75           76           77           78 
#> 2.433460e-02 4.231361e-02 7.565069e-03 7.565069e-03 2.554407e-02 2.101149e-02 
#>           79           80           81           82           83           84 
#> 4.532581e-03 1.820626e-03 2.711955e-03 2.711955e-03 4.125090e-02 2.381789e-02 
#>           85           86           87           88           89           90 
#> 2.677110e-02 2.677110e-02 3.392623e-03 9.338091e-03 5.945468e-03 5.491606e-03 
#>           91           92           93           94           95           96 
#> 4.538619e-04 4.538619e-04 8.913840e-02 1.473409e-01 1.172821e-03 1.294822e-03 
#>           97           98           99          100          101          102 
#> 1.220015e-04 1.220015e-04 2.019448e-02 3.594838e-03 2.925203e-02 1.361299e-02 
#>          103          104          105          106          107          108 
#> 3.300246e-02 4.228953e-02 9.287071e-03 9.287071e-03 1.749996e-02 2.358815e-03 
#>          109          110          111          112          113          114 
#> 5.093762e-03 1.808605e-02 6.205624e-03 6.205624e-03 1.919792e-02 1.493162e-02 
#>          115          116          117          118          119          120 
#> 4.266296e-03 4.266296e-03 9.150530e-03 9.150530e-03 7.122541e-03 3.491655e-02 
#>          121          122          123          124          125          126 
#> 4.386333e-03 4.386333e-03 1.062425e-02 2.198471e-02 6.413583e-03 7.258934e-03 
#>          127          128          129          130          131          132 
#> 2.936702e-03 2.676759e-03 2.599428e-04 2.599428e-04 3.782053e-03 3.782053e-03 
#>          133          134          135          136          137          138 
#> 2.155609e-02 2.155609e-02 1.384069e-01 4.229937e-01 2.991666e-02 9.115150e-02 
#>          139          140          141          142          143          144 
#> 1.849681e-02 2.382939e-02 5.332574e-03 5.332574e-03 1.213857e-02 3.933747e-03 
#>          145          146          147          148          149          150 
#> 3.888520e-02 6.451744e-02 1.661305e-02 9.945879e-03 6.667168e-03 6.667168e-03 
#>          151          152          153          154          155          156 
#> 2.496559e-02 2.449396e-02 5.223057e-03 9.528342e-03 8.222981e-03 1.165631e-03 
#>          157          158          159          160          161          162 
#> 7.057351e-03 7.057351e-03 1.252827e-02 1.252827e-02 1.727969e-02 1.550807e-02 
#>          163          164          165          166          167          168 
#> 1.771625e-03 9.711929e-05 1.674506e-03 1.674506e-03 4.129317e-03 2.324710e-02 
#>          169          170          171          172          173          174 
#> 4.967856e-02 4.967856e-02 3.565382e-02 6.879634e-02 3.314252e-02 3.314252e-02 
#>          175          176          177          178          179          180 
#> 3.075724e-01 3.995677e-01 8.707351e-03 8.513301e-02 6.862278e-03 2.490990e-03 
#>          181          182          183          184          185          186 
#> 4.371288e-03 4.371288e-03 2.817655e-02 5.628100e-02 8.338693e-03 5.140077e-04 
#>          187          188          189          190          191          192 
#> 2.649293e-02 2.649293e-02 1.512541e-02 1.866825e-02 3.542834e-03 3.542834e-03 
#>          193          194          195          196          197          198 
#> 5.511139e-02 3.480143e-02 1.333788e-02 2.030995e-02 6.972076e-03 6.972076e-03