r - 如何从稀疏矩阵中获取行列对

Question

假设我有一个稀疏矩阵 M1

i<-c(1,5,2,4,2,2,8)
j<-c(2,5,3,2,4,2,4)
x<-rpois(7,2)
M1<-sparseMatrix(i,j,x=x)
rownames(M1) <- c("a", "b", "c", "d", "e", "f", "g", "h")
colnames(M1) <- c("L1", "L2", "L3", "L4", "L5")
M1

其中 M1 看起来像:

8 x 5 sparse Matrix of class "dgCMatrix"
  L1 L2 L3 L4 L5
a  .  3  .  .  .
b  .  1  3  0  .
c  .  .  .  .  .
d  .  4  .  .  .
e  .  .  .  .  1
f  .  .  .  .  .
g  .  .  .  .  .
h  .  .  .  0  .

我将如何在一个看起来像这样的列表中制作一组交互的 row-col 对:

(a, L2)
(b, L2)
(b, L3)
(b, L4)
(d, L2)
(e, L5)
(h, L4)

谢谢!

Answer 1

使用 which与 arr.ind = TRUE在逻辑矩阵上并根据 row/col 提取行名和列名指数

i1 <- which(M1 > 0, arr.ind = TRUE)
library(dplyr)
tibble(rn = row.names(M1)[i1[,1]], cn = colnames(M1)[i1[,2]]) %>%
    arrange(rn) 

-输出

# A tibble: 7 x 2
  rn    cn   
  <chr> <chr>
1 a     L2   
2 b     L2   
3 b     L3   
4 b     L4   
5 d     L2   
6 e     L5   
7 h     L4