矩阵R中的最大值和最小值
我有一个浮点值的3D矩阵,我需要里面的最大值和最小值,比如:矩阵R中的最大值和最小值,r,matrix,R,Matrix,我有一个浮点值的3D矩阵,我需要里面的最大值和最小值,比如: [[1]] 0.1 0.3 0.6 0.8 0.09 0.1 0.4 0.6 [[2]] 0.08 0.2 0.5 0.75 0.01 0.3 0.5 0.55 生成人: m <- list(matrix(c(0.1,0.3,0.6,0.8, 0.09,0.1,0.4,0.6),2,4,byrow=TRUE), matrix(c(0.08,0.2,0.5,0.7
[[1]]
0.1 0.3 0.6 0.8
0.09 0.1 0.4 0.6
[[2]]
0.08 0.2 0.5 0.75
0.01 0.3 0.5 0.55
生成人:
m <- list(matrix(c(0.1,0.3,0.6,0.8,
0.09,0.1,0.4,0.6),2,4,byrow=TRUE),
matrix(c(0.08,0.2,0.5,0.75,
0.01,0.3,0.5,0.55),2,4,byrow=TRUE))
m试试这个:
玩具数据:
此外,您还可以在一行代码中同时使用这两个参数:lappy(l,FUN=range)
(感谢Joseph Wood的最后建议。请参阅注释)您还可以通过range
(lappy(l,range)
)在一次调用中同时获得min
和max
。很好的工作。是的,你会的,我会考虑我的回答。
> m1<-matrix(runif(8,1,100),2,4)
> m1
[,1] [,2] [,3] [,4]
[1,] 98.88260 97.13486 2.712315 35.09616
[2,] 43.90468 99.59167 41.873303 94.19843
> m2<-matrix(runif(8,1,100),2,4)
> m2
[,1] [,2] [,3] [,4]
[1,] 26.61785 61.11184 42.28846 55.87778
[2,] 49.27263 59.28607 46.72659 76.24321
> l<-list(m1,m2)
> lapply(l,FUN = max)
[[1]]
[1] 99.59167
[[2]]
[1] 76.24321
> lapply(l,FUN = min)
[[1]]
[1] 2.712315
[[2]]
[1] 26.61785