如何将稀疏矩阵转换为索引和非零元素值的矩阵 [英] How to convert a sparse matrix into a matrix of index and value of non-zero element

问题描述

我们可以使用sparseMatrix或spMatrix根据非零元素的索引和值构造稀疏矩阵.是否有任何函数将稀疏矩阵转换回所有非零元素的索引和值?例如

We can construct a sparse matrix from an index and value of non-zero element with the sparseMatrix or spMatrix. Is there any function convert a sparse matrix back to an index and value of all non-zero element? For example

i <- c(1,3,5); j <- c(1,3,4); x <- 1:3
A <- sparseMatrix(i, j, x = x)

B <- sparseToVector(A)
## test case:
identical(B,cbind(i,j,x))

是否有任何功能与sparseToVector相似?

Is there any function do a similar job as sparseToVector?

推荐答案

summary(A)
# 5 x 4 sparse Matrix of class "dgCMatrix", with 3 entries 
#   i j x
# 1 1 1 1
# 2 3 3 2
# 3 5 4 3

，您可以轻松地将其传递给as.data.frame或as.matrix:

which you can easily pass to as.data.frame or as.matrix:

sparseToVector <- function(x)as.matrix(summary(x))
B <- sparseToVector(A)
## test case:
identical(B,cbind(i,j,x))
# [1] TRUE

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