.degreeGeneric | R Documentation |

The assumption to use this function is that the network represented by a matrix is symetric and without any connection the node and itself.

```
.degreeGeneric(
fun = stats::cor,
funPrefix = "operator",
xdata,
cutoff = 0,
considerUnweighted = FALSE,
chunks = 1000,
forceRecalcDegree = FALSE,
forceRecalcNetwork = FALSE,
nCores = 1,
...
)
```

`fun` |
function that will calculate the edge weight between 2 nodes |

`funPrefix` |
used to store low-level information on network as it can become to large to be stored in memory |

`xdata` |
calculate correlation matrix on each column |

`cutoff` |
positive value that determines a cutoff value |

`considerUnweighted` |
consider all edges as 1 if they are greater than 0 |

`chunks` |
calculate function at batches of this value (default is 1000) |

`forceRecalcDegree` |
force recalculation of penalty weights (but not the network), instead of going to cache |

`forceRecalcNetwork` |
force recalculation of network and penalty weights, instead of going to cache |

`nCores` |
number of cores to be used |

`...` |
extra parameters for fun |

a vector of the degrees

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.