Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby.
Clone or download
clbustos Merge pull request #47 from fenrir-naru/misc_optimization_refactoring
Miscellaneous optimization and refactoring
Latest commit 3199102 Oct 18, 2018
Permalink
Failed to load latest commit information.
lib Change eval_engine() 1st argument to R expression to improve flexibility Oct 14, 2018
spec
.gitignore Delete jruby1.0 from travis. Removed Gemfile.lock from git Mar 29, 2018
.travis.yml
Gemfile added support for bundler and gemspec Apr 13, 2013
History.txt Push to 2.1 version Aug 19, 2018
LICENSE.txt First git of RinRuby (1.2.0) Apr 23, 2010
Manifest.txt Add the R wrapper class without R constant May 8, 2018
README.md Ruby 2.0.0 deprecated Aug 19, 2018
Rakefile
rinruby.gemspec Fix duplication of version definition Aug 27, 2018

README.md

rinruby

Build Status

Maintainability

DESCRIPTION

RinRuby is a Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby. The library consists of a single Ruby script that is simple to install and does not require any special compilation or installation of R. Since the library is 100% pure Ruby, it works on a variety of operating systems, Ruby implementations, and versions of R. RinRuby's methods are simple, making for readable code. The website rinruby.ddahl.org describes RinRuby usage, provides comprehensive documentation, gives several examples, and discusses RinRuby's implementation.

Copyright 2005-2008 David B. Dahl

Developed by David B. Dahl. Documented by David B. Dahl and Scott Crawford

Homepage: http://rinruby.ddahl.org

Maintainer: Claudio Bustos

Contributors:

FEATURES/PROBLEMS

  • Pure Ruby. Works on Ruby 2.1, 2.2, 2.4 and JRuby-head (2018/03/29). There isn't any specific code that impides to use Ruby < 2.0, but is deprecated.
  • Slower than RSRuby, but more robust

SYNOPSIS

Below is a simple example of RinRuby usage for simple linear regression. The simulation parameters are defined in Ruby, computations are performed in R, and Ruby reports the results. In a more elaborate application, the simulation parameter might come from input from a graphical user interface, the statistical analysis might be more involved, and the results might be an HTML page or PDF report.

Code

  require "rinruby"
  n = 10
  beta_0 = 1
  beta_1 = 0.25
  alpha = 0.05
  seed = 23423
  R.x = (1..n).entries
  R.eval <<EOF
      set.seed(#{seed})
      y <- #{beta_0} + #{beta_1}*x + rnorm(#{n})
      fit <- lm( y ~ x )
      est <- round(coef(fit),3)
      pvalue <- summary(fit)$coefficients[2,4]
  EOF
  puts "E(y|x) ~= #{R.est[0]} + #{R.est[1]} * x"
  if R.pvalue < alpha
    puts "Reject the null hypothesis and conclude that x and y are related."
  else
    puts "There is insufficient evidence to conclude that x and y are related."
  end

Output

  E(y|x) ~= 1.264 + 0.273 * x
  Reject the null hypothesis and conclude that x and y are related.

REQUIREMENTS

  • R

INSTALL

  • sudo gem install rinruby

LICENSE

GPL-3. See LICENSE.txt for more information.