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Useful tricks for matrix manipulation
::install_github('krzjoa/matricks') devtools
Main matricks
functions are m
and
v
, which provide convenient API to create matrices and
vectors.
Why should we write:
matrix(c(5, 6, 7,
8, 0, 9,
3, 7, 1), nrow = 3, byrow = TRUE)
#> [,1] [,2] [,3]
#> [1,] 5 6 7
#> [2,] 8 0 9
#> [3,] 3 7 1
if we can simply create such a matrix like that:
library(matricks)
m(5, 6, 7|
8, 0, 9|
3, 7, 1)
#> [,1] [,2] [,3]
#> [1,] 5 6 7
#> [2,] 8 0 9
#> [3,] 3 7 1
v
function is an useful shortcut for creating vertical
vectors (single columns)
v(1,2,3)
#> [,1]
#> [1,] 1
#> [2,] 2
#> [3,] 3
v(1:5)
#> [,1]
#> [1,] 1
#> [2,] 2
#> [3,] 3
#> [4,] 4
#> [5,] 5
Setting values in easier with matricks
<- matrix(0, 3, 3)
mat set_values(mat, c(1, 2) ~ 0.5, c(3, 1) ~ 7)
#> [,1] [,2] [,3]
#> [1,] 0 0.5 0
#> [2,] 0 0.0 0
#> [3,] 7 0.0 0
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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