Given a matrix of m*n, I want to reorder it as a vector, using a row major
transpose.
so:
> m<-matrix(seq(1,48),nrow=6,byrow=T)
> m
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1 2 3 4 5 6 7 8
[2,] 9 10 11 12 13 14 15 16
[3,] 17 18 19 20 21 22 23 24
[4,] 25 26 27 28 29 30 31 32
[5,] 33 34 35 36 37 38 39 40
[6,] 41 42 43 44 45 46 47 48
I want to reorder this as a vector copying by row, so that the final vector
has elements ordered thusly: row 1, column 1:N (m[1,1:n]) maps to
row 1-n, and m[2,1:n] maps to row[n+1:2n] ...
this obviously is not a solution: as the inherent column major storage
paradigm of a matrix
defeats the approach.
> dim(m)<-c(48,1)
> m
[,1]
[1,] 1
[2,] 9
[3,] 17
[4,] 25
[5,] 33
[6,] 41
[7,] 2
[8,] 10
[9,] 18
[10,] 26
[11,] 34
[12,] 42
[13,] 3
[14,] 11
[15,] 19
[16,] 27
[17,] 35
[18,] 43
[19,] 4
[20,] 12
[21,] 20
[22,] 28
[23,] 36
[24,] 44
[25,] 5
[26,] 13
[27,] 21
[28,] 29
[29,] 37
[30,] 45
[31,] 6
[32,] 14
[33,] 22
[34,] 30
[35,] 38
[36,] 46
[37,] 7
[38,] 15
[39,] 23
[40,] 31
[41,] 39
[42,] 47
[43,] 8
[44,] 16
[45,] 24
[46,] 32
[47,] 40
[48,] 48
I already have a version that loops through the data ( this is actually a
portion of a data frame ) to reorder
this into a vector, but I was hoping there was an elegant way
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