Description Usage Arguments Details Value Examples

View source: R/create_adjacency.R

Creates a symmetric adjacency matrix from a simple data frame or edgelist from a matrix object that notes the connections.

1 2 3 | ```
create_adjacency(data, n1, n2, value = NULL, diagonal = NULL)
create_edges(adjmat, zeroEdges = FALSE, symmetric = FALSE, diag = FALSE)
``` |

`data` |
A data frame containing the nodes. |

`n1` |
column representing the first set of nodes. |

`n2` |
column representing the second set of nodes. |

`value` |
column representing the weight (otherwise will be set to 1). |

`diagonal` |
numeric value desired for the diagonal (defaults to a value of 1). |

`adjmat` |
A matrix like that produced with |

`zeroEdges` |
Include all possible edges or only those with values > 0? |

`symmetric` |
Include both A -> B and B -> A? FALSE assumes an undirected graph. |

`diag` |
Include diagonal (i.e. self connections)? |

The idea is to have this functionality without requiring any special graph or network object, as typical graphs can be represented rather simply using a data frame. n1 and n2 specify columns where the nodes in n1 are connected to nodes in n2. Value is an optional column name that will specify the weight of the connection See get.adjacency in igraph for an alternative.

`create_edges`

assumes an adjacency matrix like that produced by `create_adjacency`

A symmetric adjacency matrix with rows and columns pertaining to the unique values found in n1 and n2

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
library(lazerhawk); library(dplyr)
nodeData = data.frame(pair=1:10,
node1 = sample(letters[1:4], 10, replace=TRUE),
node2 = sample(LETTERS[1:4], 10, replace=TRUE),
weight = runif(10),
diagonal = 0)
adjmat = create_adjacency(nodeData, n1='node1', n2='node2')
adjmat
adjmat = create_adjacency(nodeData, n1='node1', n2='node2', value='weight', diagonal=0)
adjmat
create_edges(adjmat)
create_edges(adjmat, symmetric=TRUE)
``` |

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