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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 
#> 3.969187e-01 6.406781e-01 1.687913e-01 2.626384e-01 3.148973e-02 1.508033e-02 
#>            7            8            9           10           11           12 
#> 6.406768e-02 2.423405e-02 5.453268e-02 3.945642e-02 1.507626e-02 3.286095e-03 
#>           13           14           15           16           17           18 
#> 6.080711e-03 1.179016e-02 2.410886e-03 5.709452e-03 3.298565e-03 8.568880e-06 
#>           19           20           21           22           23           24 
#> 3.289997e-03 3.195084e-03 9.491238e-05 9.491238e-05 1.469905e-02 1.128917e-02 
#>           25           26           27           28           29           30 
#> 3.409873e-03 3.409873e-03 2.056135e-02 1.626145e-02 2.221727e-02 1.906074e-02 
#>           31           32           33           34           35           36 
#> 2.448287e-02 2.400641e-02 3.028726e-03 3.028726e-03 1.147172e-03 3.177129e-04 
#>           37           38           39           40           41           42 
#> 2.234552e-03 1.118566e-03 9.815947e-04 1.115986e-03 1.343914e-04 1.343914e-04 
#>           43           44           45           46           47           48 
#> 1.405093e-03 1.405093e-03 4.867031e-03 2.387860e-02 8.576187e-03 1.901157e-02 
#>           49           50           51           52           53           54 
#> 1.043538e-02 1.043538e-02 2.450267e-02 4.179598e-02 7.337151e-03 1.729330e-02 
#>           55           56           57           58           59           60 
#> 9.956150e-03 9.956150e-03 9.631874e-03 1.921125e-01 2.190451e-02 3.142853e-01 
#>           61           62           63           64           65           66 
#> 5.767374e-02 2.696855e-01 6.394253e-03 2.269535e-02 1.571684e-02 1.630110e-02 
#>           67           68           69           70           71           72 
#> 5.842597e-04 5.842597e-04 1.833605e-01 2.131009e-02 1.264139e-01 1.015032e-01 
#>           73           74           75           76           77           78 
#> 9.485613e-02 1.118937e-01 1.703761e-02 2.782058e-03 1.425555e-02 7.861975e-03 
#>           79           80           81           82           83           84 
#> 6.393579e-03 6.393579e-03 8.698305e-02 2.692878e-02 3.133122e-02 1.850330e-02 
#>           85           86           87           88           89           90 
#> 8.218332e-03 2.745825e-02 1.409272e-02 8.337239e-03 5.755481e-03 5.755481e-03 
#>           91           92           93           94           95           96 
#> 6.703887e-03 3.333264e-02 9.386074e-03 5.450898e-03 2.117785e-02 5.433387e-03 
#>           97           98           99          100          101          102 
#> 1.020857e-02 2.060313e-03 1.368415e-02 1.368415e-02 2.899549e-03 5.535896e-03 
#>          103          104          105          106          107          108 
#> 2.636347e-03 2.636347e-03 1.724268e-02 7.630201e-03 4.459496e-03 2.846618e-03 
#>          109          110          111          112          113          114 
#> 2.486649e-03 6.765858e-03 4.279209e-03 4.279209e-03 5.152980e-03 5.152980e-03 
#>          115          116          117          118          119          120 
#> 8.850581e-03 2.430547e-02 4.417577e-03 4.417577e-03 1.987247e-02 3.905001e-03 
#>          121          122          123          124          125          126 
#> 1.522313e-02 1.596747e-02 3.252834e-04 7.443344e-04 4.190510e-04 4.190510e-04 
#>          127          128          129          130          131          132 
#> 2.204038e-02 3.866840e-02 1.267814e-02 2.669323e-03 1.000882e-02 1.000882e-02 
#>          133          134          135          136          137          138 
#> 2.930615e-02 2.930615e-02 3.272775e-01 1.439463e-01 3.472613e-01 2.356544e-01 
#>          139          140          141          142          143          144 
#> 1.171652e-01 1.171652e-01 4.344649e-03 5.558326e-03 5.634537e-04 1.213678e-03 
#>          145          146          147          148          149          150 
#> 6.502239e-04 6.502239e-04 1.694884e-01 4.912519e-02 3.479917e-02 1.203633e-01 
#>          151          152          153          154          155          156 
#> 8.525507e-02 2.012145e-02 2.615925e-02 9.363961e-03 5.607868e-02 7.865076e-03 
#>          157          158          159          160          161          162 
#> 4.721592e-02 7.431271e-03 1.187724e-02 1.893379e-02 2.184854e-02 2.184854e-02 
#>          163          164          165          166          167          168 
#> 1.207972e-02 2.890509e-02 1.682537e-02 7.556890e-03 9.268477e-03 9.268477e-03 
#>          169          170          171          172          173          174 
#> 9.976801e-04 9.976801e-04 2.054302e-03 5.942956e-04 1.129976e-02 1.426720e-02 
#>          175          176          177          178          179          180 
#> 2.442190e-02 1.006016e-02 1.857982e-03 4.820206e-03 9.541535e-03 9.541535e-03 
#>          181          182          183          184          185          186 
#> 1.250376e-02 1.250376e-02 1.204634e-02 2.738933e-02 1.383754e-02 1.534300e-02 
#>          187          188          189          190          191          192 
#> 1.505459e-03 1.505459e-03 2.446712e-02 3.722909e-02 1.170613e-02 1.276197e-02 
#>          193          194          195          196          197          198 
#> 1.055838e-03 5.499341e-05 1.000845e-03 1.000845e-03 3.090125e-04 3.090125e-04