as.matrix.GNARnet: Converts a GNAR networks into a weighted adjacency matrix
Description
Takes an input GNARnet and neighbour stage and outputs the corresponding adjacency matrix.
Usage
# S3 method for GNARnet
as.matrix(x, stage=1, normalise=FALSE, ...)
Value
as.matrix performed on a GNARnet returns a square matrix with the number of rows and columns equal to the length of the $edges list. Entry i,j of the matrix will be non-zero if node j is in the stage neighbour set of i.
Arguments
- x
the network GNARnet object associated with the time series, containing a list with entries $edges and $dist.
- stage
the neighbour set that the adjacency matrix is created for.
- normalise
whether to normalise each to non-zero row to have sum one.
- ...
additional arguments, unused here.
Details
S3 method for class "GNARnet".
With normalisation this is a non-invertible transform. See NofNeighbours for neighbour set definition.
Examples
Run this code#fiveNet as an adjacency matrix
as.matrix(fiveNet)
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