R 重新布线加权图生成NAs

前一个到另一个提供了一些代码来重新布线加权图，如下所示：

g <- graph.ring(10)
E(g)$weight <- seq_len(ecount(g))
E(g)$weight
# [1]  1  2  3  4  5  6  7  8  9 10
is.weighted(g)
# [1] TRUE
g2 <- rewire(g,niter=3)
plot(g2)
is.weighted(g2)
# [1] TRUE

1） 手动重新分配边非常简单。但另一种简单的方法是标记边缘，然后排列标签，例如：

V(g)$name <- letters[1: ecount(g)]
E(g)
# + 10/10 edges (vertex names):
#  [1] a--b b--c c--d d--e e--f f--g g--h h--i i--j a--j
E(g)$weight
# [1]  1  2  3  4  5  6  7  8  9 10

V(g)$name <- sample(letters[1: ecount(g)])
E(g)
# + 10/10 edges (vertex names):
#  [1] g--h h--c c--d d--e e--j j--a a--b b--f f--i g--i
E(g)$weight
# [1]  1  2  3  4  5  6  7  8  9 10

# visualize:
plot(g, edge.width = E(g)$weight)

---

V（g）$name在我的环境中（1.0.1版）
igraph
，
g2谢谢@cartlefish44我刚刚也找到了这个，
g2 <- rewire(g,niter=3) 
E(g2)$weight <- sample( seq_len(ecount(g)) )

id  id w
A - B  6
C - D  1
E - F  1

to

id  id w
A - C  6
D - E  1
B - F  1

but also does:
id  id w
A - B  6
C - D  1
E - F  1

to

id  id w
A - C  4
D - E  3
B - F  1

V(g)$name <- letters[1: ecount(g)]
E(g)
# + 10/10 edges (vertex names):
#  [1] a--b b--c c--d d--e e--f f--g g--h h--i i--j a--j
E(g)$weight
# [1]  1  2  3  4  5  6  7  8  9 10

V(g)$name <- sample(letters[1: ecount(g)])
E(g)
# + 10/10 edges (vertex names):
#  [1] g--h h--c c--d d--e e--j j--a a--b b--f f--i g--i
E(g)$weight
# [1]  1  2  3  4  5  6  7  8  9 10

# visualize:
plot(g, edge.width = E(g)$weight)

w <- sum(E(g)$weight)
s <- sample(w, size = ecount(g) - 1)
E(g)$weight <- c(sort(s), w) - c(0, sort(s))
sum(E(g)$weight) == w
# [1] TRUE
plot(g, edge.width = E(g)$weight)