edge_properties_to_matrix {SimInf} | R Documentation |
Convert an edge list with properties to a matrix
Description
A utility function to facilitate preparing edge properties for
ldata
in a model.
Usage
edge_properties_to_matrix(edges, n_nodes)
Arguments
edges |
a |
n_nodes |
the total number of nodes in the model. The
resulting matrix will have the number of columns equal to
|
Details
The edge properties will be converted to a matrix where each row
in edges
will become a sequence of (index, value_1,
value_2, ..., value_n) where 'index' is the zero-based index of
the from
node. The reason for a zero-based index is to
facilitate it's usage in C code. The sequence will be added to the
'to' column in the matrix. There will always be at least one stop
value=-1 in each column. All other values in the matrix will be
set to NaN
. See ‘Examples’.
Value
a numeric matrix with the number of rows equal to
max(table(edges$to)) * (ncol(edges) - 1) + 1
and the
number of columns equal to n_nodes
.
Examples
## Let us consider the following edge properties.
edges <- data.frame(
from = c( 2, 3, 4, 1, 4, 5, 1, 3, 1, 3),
to = c( 1, 1, 1, 2, 3, 3, 4, 4, 5, 5),
rate = c(0.2, 0.01, 0.79, 1, 0.2, 0.05, 0.2, 0.8, 0.2, 0.8),
count = c( 5, 5, 5, 50, 10, 10, 5, 5, 5, 5))
## Converting the edge properties into a matrix
edge_properties_to_matrix(edges, 6)
## Gives the following output. The first column contains first the
## properties for the edge from = 2 --> to = 1, where the first
## row is the zero-based index of from, i.e., 1. The second row
## contains the rate=0.2 and the third row count=5. On the fourth
## row starts the next sequence with the values in the second row
## in the edges data.frame. The stop value in the first column is
## on row 10. As can be seen in column 6, there are no edge
## properties for node=6.
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] 1.00 0 3.00 0.0 0.0 -1
## [2,] 0.20 1 0.20 0.2 0.2 NaN
## [3,] 5.00 50 10.00 5.0 5.0 NaN
## [4,] 2.00 -1 4.00 2.0 2.0 NaN
## [5,] 0.01 NaN 0.05 0.8 0.8 NaN
## [6,] 5.00 NaN 10.00 5.0 5.0 NaN
## [7,] 3.00 NaN -1.00 -1.0 -1.0 NaN
## [8,] 0.79 NaN NaN NaN NaN NaN
## [9,] 5.00 NaN NaN NaN NaN NaN
## [10,] -1.00 NaN NaN NaN NaN NaN