consensusAdjacency {MetNet} | R Documentation |
The function takes a list of parameters (l
) as input and
creates a consensus adjacency matrix from these adjacency matrices by
calling the function consensus
from the sna
package. Depending
on the chosen method
in consensus
, the threshold of the
consensus adjacency matrix should be chosen accordingly to report a
connection by different statistical methods.
consensusAdjacency(l, threshold=1, ...)
l |
list, each entry of the list contains an adjacency matrix |
threshold |
numeric, when combining the adjacency matrices the
|
... |
parameters passed to the function |
consensusAdjacency
is a wrapper function of the
consensus
function of the sna
package. For use of the
parameters used in the consensus
function, refer to ?sna::consensus.
matrix, consensus matrix from adjacency matrices
Thomas Naake, thomasnaake@googlemail.com
data("x_test", package="MetNet") x <- x_test[, 3:dim(x_test)[2]] x <- as.matrix(x) stat_adj_l <- createStatisticalAdjacencyList(x, c("pearson", "spearman")) consensusAdjacency(stat_adj_l)