The number of elements of vec are the number of non-zero elements in the adjacency matrix. It performs the opposite operation of `mat2vec.ix`.

vec2mat(vec, directed, selfloops, n)

Arguments

vec

vector to be put in matrix form

directed

a boolean argument specifying whether object is directed or not.

selfloops

a boolean argument specifying whether the model should incorporate selfloops.

n

vector. if length(n)==1, n is the number of vertices. If length(n)==3 first element is number of vertices, second and third elements are number of vertices for row and column of bipartite matrix.

Value

matrix nxn generated from vector.

Examples

data('adj_karate') ix <- mat2vec.ix(adj_karate, FALSE, FALSE) vec <- adj_karate[ix] vec2mat(vec, FALSE, FALSE, nrow(adj_karate))
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] #> [1,] 0 4 5 3 3 3 3 2 2 0 2 3 1 #> [2,] 4 0 6 3 0 0 0 4 0 0 0 0 0 #> [3,] 5 6 0 3 0 0 0 4 5 1 0 0 0 #> [4,] 3 3 3 0 0 0 0 3 0 0 0 0 3 #> [5,] 3 0 0 0 0 0 2 0 0 0 3 0 0 #> [6,] 3 0 0 0 0 0 5 0 0 0 3 0 0 #> [7,] 3 0 0 0 2 5 0 0 0 0 0 0 0 #> [8,] 2 4 4 3 0 0 0 0 0 0 0 0 0 #> [9,] 2 0 5 0 0 0 0 0 0 0 0 0 0 #> [10,] 0 0 1 0 0 0 0 0 0 0 0 0 0 #> [11,] 2 0 0 0 3 3 0 0 0 0 0 0 0 #> [12,] 3 0 0 0 0 0 0 0 0 0 0 0 0 #> [13,] 1 0 0 3 0 0 0 0 0 0 0 0 0 #> [14,] 3 5 3 3 0 0 0 0 0 0 0 0 0 #> [15,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [16,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [17,] 0 0 0 0 0 3 3 0 0 0 0 0 0 #> [18,] 2 1 0 0 0 0 0 0 0 0 0 0 0 #> [19,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [20,] 2 2 0 0 0 0 0 0 0 0 0 0 0 #> [21,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [22,] 2 2 0 0 0 0 0 0 0 0 0 0 0 #> [23,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [24,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [25,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [26,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [27,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [28,] 0 0 2 0 0 0 0 0 0 0 0 0 0 #> [29,] 0 0 2 0 0 0 0 0 0 0 0 0 0 #> [30,] 0 0 0 0 0 0 0 0 0 0 0 0 0 #> [31,] 0 2 0 0 0 0 0 0 3 0 0 0 0 #> [32,] 2 0 0 0 0 0 0 0 0 0 0 0 0 #> [33,] 0 0 2 0 0 0 0 0 3 0 0 0 0 #> [34,] 0 0 0 0 0 0 0 0 4 2 0 0 0 #> [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] #> [1,] 3 0 0 0 2 0 2 0 2 0 0 0 #> [2,] 5 0 0 0 1 0 2 0 2 0 0 0 #> [3,] 3 0 0 0 0 0 0 0 0 0 0 0 #> [4,] 3 0 0 0 0 0 0 0 0 0 0 0 #> [5,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [6,] 0 0 0 3 0 0 0 0 0 0 0 0 #> [7,] 0 0 0 3 0 0 0 0 0 0 0 0 #> [8,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [9,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [10,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [11,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [12,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [13,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [14,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [15,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [16,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [17,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [18,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [19,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [20,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [21,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [22,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [23,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [24,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [25,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [26,] 0 0 0 0 0 0 0 0 0 0 5 2 #> [27,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [28,] 0 0 0 0 0 0 0 0 0 0 4 3 #> [29,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [30,] 0 0 0 0 0 0 0 0 0 0 3 0 #> [31,] 0 0 0 0 0 0 0 0 0 0 0 0 #> [32,] 0 0 0 0 0 0 0 0 0 0 0 2 #> [33,] 0 3 3 0 0 1 0 3 0 2 5 0 #> [34,] 3 2 4 0 0 2 1 1 0 3 4 0 #> [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] #> [1,] 0 0 0 0 0 0 2 0 0 #> [2,] 0 0 0 0 0 2 0 0 0 #> [3,] 0 0 2 2 0 0 0 2 0 #> [4,] 0 0 0 0 0 0 0 0 0 #> [5,] 0 0 0 0 0 0 0 0 0 #> [6,] 0 0 0 0 0 0 0 0 0 #> [7,] 0 0 0 0 0 0 0 0 0 #> [8,] 0 0 0 0 0 0 0 0 0 #> [9,] 0 0 0 0 0 3 0 3 4 #> [10,] 0 0 0 0 0 0 0 0 2 #> [11,] 0 0 0 0 0 0 0 0 0 #> [12,] 0 0 0 0 0 0 0 0 0 #> [13,] 0 0 0 0 0 0 0 0 0 #> [14,] 0 0 0 0 0 0 0 0 3 #> [15,] 0 0 0 0 0 0 0 3 2 #> [16,] 0 0 0 0 0 0 0 3 4 #> [17,] 0 0 0 0 0 0 0 0 0 #> [18,] 0 0 0 0 0 0 0 0 0 #> [19,] 0 0 0 0 0 0 0 1 2 #> [20,] 0 0 0 0 0 0 0 0 1 #> [21,] 0 0 0 0 0 0 0 3 1 #> [22,] 0 0 0 0 0 0 0 0 0 #> [23,] 0 0 0 0 0 0 0 2 3 #> [24,] 5 0 4 0 3 0 0 5 4 #> [25,] 2 0 3 0 0 0 2 0 0 #> [26,] 0 0 0 0 0 0 7 0 0 #> [27,] 0 0 0 0 4 0 0 0 2 #> [28,] 0 0 0 0 0 0 0 0 4 #> [29,] 0 0 0 0 0 0 2 0 2 #> [30,] 0 4 0 0 0 0 0 4 2 #> [31,] 0 0 0 0 0 0 0 3 3 #> [32,] 7 0 0 2 0 0 0 4 4 #> [33,] 0 0 0 0 4 3 4 0 5 #> [34,] 0 2 4 2 2 3 4 5 0