This generic function takes an object that inherits from the
class. The graph needs to have
edgemode=="undirected". If it has
edgemode=="directed", the function will return NULL.
An instance of the appropriate graph class.
Logical. If true, the calculation takes self loops into account.
For a node with n adjacent nodes, if
FALSE, the clustering coefficent is
N/(n*(n-1)), where N is the number of edges between these nodes.
The graph may not have self loops.
TRUE, the clustering coefficent is
N/(n*n), where N is the number of edges between these nodes,
including self loops.
A named numeric vector with the clustering coefficients for each node. For nodes with 2 or more edges, the values are between 0 and 1. For nodes that have no edges, the function returns the value NA. For nodes that have exactly one edge, the function returns NaN.
Wolfgang Huber http://www.dkfz.de/mga/whuber
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Loading required package: BiocGenerics Loading required package: parallel Attaching package: 'BiocGenerics' The following objects are masked from 'package:parallel': clusterApply, clusterApplyLB, clusterCall, clusterEvalQ, clusterExport, clusterMap, parApply, parCapply, parLapply, parLapplyLB, parRapply, parSapply, parSapplyLB The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, append, as.data.frame, cbind, colMeans, colSums, colnames, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which, which.max, which.min a b c d e f g h 0.5238095 0.7333333 NaN 1.0000000 1.0000000 0.7333333 1.0000000 0.6666667 i j 1.0000000 1.0000000 a b c d e f g h 0.4489796 0.6111111 0.0000000 0.8000000 0.8000000 0.6111111 0.5000000 0.5555556 i j 0.5000000 0.5000000
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