Description Usage Arguments Value Author(s) See Also Examples

Create a from-to edge matrix with the scagnostic weights.

1 2 3 4 5 6 7 | ```
scagEdgeWeights(data,
scags = c("Clumpy", "NotClumpy", "Monotonic", "NotMonotonic",
"Convex", "NotConvex", "Stringy", "NotStringy",
"Skinny", "NotSkinny", "Outlying","NotOutlying",
"Sparse", "NotSparse", "Striated", "NotStriated",
"Skewed", "NotSkewed"),
combineFn = NULL)
``` |

`data` |
object to calculate scagnostics on: NG_data, a vector, a matrix or a data.frame. |

`scags` |
Single element or a subset of (with possible a "Not" preceding): |

`combineFn` |
Must be a function that takes in a vector of length |

a named list with `fromToEdgeMatrix`

being a matrix and
`nodeNames`

being a vector.

Adrian Waddell and R. Wayne Oldford

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
data(olive)
ng.olive <- ng_data(name = "Olive",
data = olive[,-c(1,2)],
shortnames = c("p1","p2","s","ol","l1","l2","a","e"),
group = as.numeric(olive$Area)+1
)
edgeWts <- scagEdgeWeights(data = ng.olive,
scags = c("Clumpy", "Skinny"),
combineFn = max)
edgeWts$fromToEdgeMatrix[1:3,]
edgeWts <- scagEdgeWeights(data = ng.olive,
scags = c("Clumpy", "Skinny"),
combineFn = function(x){
2*x[1]+3*x[2]
})
edgeWts$fromToEdgeMatrix[1:3,]
``` |

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