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")
remotes::install_github("bgreenwell/ramify")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 ... -0.3140292If you find a bug or have a feature request, please submit an issue on GitHub.
This package is licensed under the GPL-3.