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]}[http://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
Contributors: Claudio Bustos
- Pure Ruby. Works on Ruby 1.8.7, 1.9 and JRuby 1.4
- Slower than RSRuby, but more robust
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.
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
E(y|x) ~= 1.264 + 0.273 * x
Reject the null hypothesis and conclude that x and y are related.
- R
- sudo gem install rinruby
GPL-3. See LICENSE.txt for more information.