Description Usage Arguments Value Author(s) See Also Examples

Coverting two mode networks from two to one mode matrix representation and vice versa. If a two-mode matrix is converted in-to a one-mode matrix, the original two-mode matrix lies in the upper right corner of the one-mode matrix.

1 2 |

`M` |
A matrix representing the (usually valued) network. |

`clu` |
A partition. Each unique value represents one cluster. This should be a list of two vectors, one for each mode. |

Functions returns list with elemets: a mode mode matrix with the two mode network in its upper left corner.

`M` |
The matrix |

`clu` |
The partition, in form appropriate for the mode of the matrix |

Aleš Žiberna

`optParC`

, `optParC`

, `optRandomParC`

, `plot.mat`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ```
#generating a simple network corresponding to the simple Sum of squares
#structural equivalence with blockmodel:
# null com
# null null
n <- c(7, 13)
net <- matrix(NA, nrow = n[1], ncol = n[2])
clu <- list(rep(1:2, times = c(3, 4)), rep(1:2, times = c(5, 8)))
tclu <- lapply(clu, table)
net[clu[[1]] == 1, clu[[2]] == 1] <- rnorm(n = tclu[[1]][1] * tclu[[2]][1],
mean = 0, sd = 1)
net[clu[[1]] == 1, clu[[2]] == 2] <- rnorm(n = tclu[[1]][1] * tclu[[2]][2],
mean = 4, sd = 1)
net[clu[[1]] == 2, clu[[2]] == 1] <- rnorm(n = tclu[[1]][2] * tclu[[2]][1],
mean = 4, sd = 1)
net[clu[[1]] == 2, clu[[2]] == 2] <- rnorm(n = tclu[[1]][2] * tclu[[2]][2],
mean = 0, sd = 1)
plot.mat(net, clu = clu) #two mode matrix of a two mode network
#converting to one mode network
M1 <- two2one(net)$M
plot.mat(M1, clu = two2one(net)$clu) #plotting one mode matrix
plot.mat(one2two(M1, clu = clu)$M, clu = clu)
#converting one to two mode matix and ploting
``` |

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