Additional Matrix Functionality

Additional matrix functionality for R including: (1) wrappers for the base matrix function that allow matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (2) better printing of large matrices via the generic "pretty" print function, and (3) a number of convenience functions for users more familiar with other scientific languages like 'Julia', 'Matlab'/'Octave', or 'Python'+'NumPy'.

ramify

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.

Core features

Intuitive matrix creation: Create matrices from character strings or lists using mat(), which is useful for seeing the structure of the matrix in your code.
Block matrices: Easily construct block matrices from existing matrix objects using bmat().
Pretty-printing: Display large matrices in the console in a compact and readable format with pprint().
Convenience functions: A suite of functions familiar to MATLAB and NumPy users, including eye(), ones(), zeros(), linspace(), meshgrid(), repmat(), and more.

Installation

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")

Usage

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