从矩阵列表中查找矩阵 [英] rbind matrices from a list of a list of matrices
问题描述
我有一个矩阵的一个list
的一个list
.每个list
具有相同数量的matrices
,其中每个matrix
具有相同数量的列:
I have a list
of a list
of matrices. Each list
has the same number of matrices
where each matrix
has the same number of columns:
set.seed(1)
mat.lol <- list(list1=list(matrix(rnorm(100),ncol=10),matrix(rnorm(200),ncol=10),matrix(rnorm(140),ncol=10)),
list2=list(matrix(rnorm(80),ncol=10),matrix(rnorm(220),ncol=10),matrix(rnorm(110),ncol=10)),
list3=list(matrix(rnorm(300),ncol=10),matrix(rnorm(500),ncol=10),matrix(rnorm(650),ncol=10)))
而且我想在所有列表中分别rbind
每个matrix
i
,以便最终得到matrices
的list
:
And I'd like to rbind
each matrix
i
across all lists so that I end up with this list
of matrices
:
mat.list <- list(rbind(mat.lol[[1]][[1]],mat.lol[[2]][[1]],mat.lol[[3]][[1]]),
rbind(mat.lol[[1]][[2]],mat.lol[[2]][[2]],mat.lol[[3]][[2]]),
rbind(mat.lol[[1]][[3]],mat.lol[[2]][[3]],mat.lol[[3]][[3]]))
达到目标的apply
function
是什么?
推荐答案
您可以使用purrr
包中的transpose()
函数将列表内外翻出 ,以便每个子列表都包含所有您想要绑定在一起的矩阵,然后可以简单地循环遍历结果列表和rbind
矩阵:
You can use transpose()
function from purrr
package to turn the list inside out so that each sub list contains all the matrices you want to bind together, and then you can simply loop through the result list and rbind
the matrices:
library(purrr)
mat.list.1 <- lapply(transpose(mat.lol), do.call, what=rbind)
identical(mat.list, mat.list.1)
# [1] TRUE
坚持使用purrr
语法:
To stick with purrr
syntax:
mat.list.3 <- transpose(mat.lol) %>% map(do.call, what=rbind)
identical(mat.list, mat.list.3)
# [1] TRUE
或者您可以从R底下使用Map
:
mat.list.2 <- do.call(Map, c(f = rbind, mat.lol))
identical(mat.list, mat.list.2)
# [1] TRUE
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