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ramify
is an R package that provides additional matrix
functionality. Its goal is to make matrix creation and manipulation more
convenient, especially for users familiar with scientific languages like
MATLAB, Octave, or Python with NumPy.
mat()
, which is useful for
seeing the structure of the matrix in your code.bmat()
.pprint()
.eye()
,
ones()
, zeros()
, linspace()
,
meshgrid()
, repmat()
, and more.You can install the stable release from CRAN:
install.packages("ramify")
Or, you can install the development version from GitHub:
#install.packages("remotes")
::install_github("bgreenwell/ramify") remotes
library(ramify)
# Create a 2x3 matrix from a string.
mat("1, 2, 3; 4, 5, 6")
#> [,1] [,2] [,3]
#> [1,] 1 2 3
#> [2,] 4 5 6
# Use spaces as a separator instead of commas.
mat("1 2 3; 4 5 6", sep = "")
#> [,1] [,2] [,3]
#> [1,] 1 2 3
#> [2,] 4 5 6
# Create a 3x3 identity matrix.
eye(3)
#> [,1] [,2] [,3]
#> [1,] 1 0 0
#> [2,] 0 1 0
#> [3,] 0 0 1
# Create a 2x4 matrix of ones.
ones(2, 4)
#> [,1] [,2] [,3] [,4]
#> [1,] 1 1 1 1
#> [2,] 1 1 1 1
# "Pretty" printing large matrices
pprint(randn(100, 100))
#> 100 x 100 matrix of doubles:
#>
#> [,1] [,2] [,3] ... [,100]
#> [1,] -0.0918915 -1.6535266 1.9916211 ... 0.2545715
#> [2,] -1.3707209 0.8595378 1.6227581 ... 0.3485438
#> [3,] 0.3271210 -0.4506809 2.3066801 ... -0.2320033
#> ... ... ... ... ... ...
#> [100,] 0.3407804 1.3619685 0.4093369 ... -0.3140292
If you find a bug or have a feature request, please submit an issue on GitHub.
This package is licensed under the GPL-3.
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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