= rinruby

* http://rinruby.ddahl.org/

== 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 [rinruby.ddahl.org][http://rinruby.ddahl.org] describes RinRuby usage, provides comprehensive documentation, gives several examples, and discusses RinRuby's implementation.

Developed by David B. Dahl
Documented by David B. Dahl and Scott Crawford
Homepage: http://rinruby.ddahl.org

Contributors: Claudio Bustos

== FEATURES/PROBLEMS:

* Pure Ruby. Works on Ruby 1.8.7, 1.9 and JRuby 1.4
* 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.

<b>Code</b>:

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 + R.est * 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

<b>Output</b>:

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