Made changes to let rinruby work with ruby 2.0.0 and provided additional documentation

.gitignore

@@ -1,3 +1,6 @@
 pkg
 doc
 *~
+*.gem
+.idea/
+Gemfile.lock

.travis.yml

@@ -1,16 +1,14 @@
-language:
-  ruby
-
+language: ruby
 rvm:
-  - '1.8.7'
-  - '1.9.3'
-  - '2.0.0'
-  - '2.1.1'
-  - jruby-19mode
-#  - rbx-2.1.1
-script:
-  bundle exec rspec 
-
+- 2.0.0
+- 2.1.1
+- 2.2.4
+- jruby-19mode
+script: bundle exec rspec
 before_install:
-  - sudo apt-get update -qq
-  - sudo apt-get install -y r-base r-base-dev
+- sudo apt-get update -qq
+- sudo apt-get install -y r-base r-base-dev
+- gem install bundler
+addons:
+  code_climate:
+    repo_token: 4bdb8ebb9430dd415c3145c68b7919a8feec286ed2544168188e61707b908d8a

Gemfile

@@ -1,4 +1,11 @@
 source 'https://rubygems.org'
 
-# Specify your gem's dependencies in rinruby.gemspec
+# Specify your gem's dependencies in rootapp-rinruby.gemspec
 gemspec
+
+gem 'rake', '~> 10.5.0' if RUBY_VERSION < '1.9.3'
+gem 'rake' if RUBY_VERSION >= '1.9.3'
+
+group :test do
+  gem "codeclimate-test-reporter", :require => nil
+end

README.md

@@ -1,66 +1,56 @@
-# 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 {website [rinruby.ddahl.org]}[http://rinruby.ddahl.org] describes RinRuby usage, provides comprehensive documentation, gives several examples, and discusses RinRuby's implementation.
+[![Build Status](https://travis-ci.org/sebastianzillessen/rinruby.svg?branch=master)](https://travis-ci.org/sebastianzillessen/rinruby)
+[![Code Climate](https://codeclimate.com/github/sebastianzillessen/rinruby/badges/gpa.svg)](https://codeclimate.com/github/sebastianzillessen/rinruby)
+[![Test Coverage](https://codeclimate.com/github/sebastianzillessen/rinruby/badges/coverage.svg)](https://codeclimate.com/github/sebastianzillessen/rinruby/coverage)
+[![Issue Count](https://codeclimate.com/github/sebastianzillessen/rinruby/badges/issue_count.svg)](https://codeclimate.com/github/sebastianzillessen/rinruby)
 
+# rinruby
 
-Copyright 2005-2008 David B. Dahl
+Execute R code from Ruby.
 
-Developed by David B. Dahl
-Documented by David B. Dahl and Scott Crawford
-Homepage: http://rinruby.ddahl.org
+* Forked from http://rinruby.ddahl.org/
 
-Contributors: Claudio Bustos
+### INSTALL
 
-### FEATURES/PROBLEMS
+* gem install rootapp-rinruby
 
-* Pure Ruby. Works on Ruby 1.8.7, 1.9 and JRuby 1.4
-* Slower than RSRuby, but more robust
+### USAGE
 
-### 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. 
+```ruby
+require "rinruby"
 
-#### Code
+R = RinRuby.new
 
-      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)$coefficients[2,4]
-      EOF
-      puts "E(y|x) ~= #{R.est[0]} + #{R.est[1]} * x"
-      if R.pvalue < alpha
-        puts "Reject the null hypothesis and conclude that x and y are related."
-      else
-        puts "There is insufficient evidence to conclude that x and y are related."
-      end
+n = 10
+beta_0 = 1
+beta_1 = 0.25
+alpha = 0.05
+seed = 23423
+R.assign('x', (1..n).entries)
+R.eval <<EOF
+  set.seed(#{seed})
+  y <- #{beta_0} + #{beta_1}*x + rnorm(#{n})
+  fit <- lm( y ~ x )
+  est <- round(coef(fit),3)
+  pvalue <- summary(fit)$coefficients[2,4]
+EOF
+puts "E(y|x) ~= #{R.pull('est')[0]} + #{R.pull('est')[1]} * x"
+if R.pull('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
+**Please note:**
 
-      E(y|x) ~= 1.264 + 0.273 * x
-      Reject the null hypothesis and conclude that x and y are related.
+The interface of RinRuby has slightly changed compared to the previous versions. 
+Variables cannot be assigned directly anymore. But you need to use `assign(name, value)` to assign variables from the ruby side and `pull(name)` to retrieve assigned variables in R in Ruby. 
 
 ### REQUIREMENTS
 
 * R
-
-### INSTALL
-
-* sudo gem install rinruby
-
-
+* Ruby >= 2.0.0 
 ### LICENSE
 
 GPL-3. See LICENSE.txt for more information.
-

Rakefile

@@ -1,20 +1,9 @@
-#!/usr/bin/ruby
 # -*- ruby -*-
 # -*- coding: utf-8 -*-
-$:.unshift(File.dirname(__FILE__)+'/lib/')
-require 'rubygems'
-require 'hoe'
-require './lib/rinruby'
+# vim: syntax=ruby
 
-Hoe.plugin :git
+require "rspec/core/rake_task"
 
-Hoe.spec 'rinruby' do
-  self.testlib=:rspec
-  self.version=RinRuby::VERSION
-  # self.rubyforge_name = 'rinruby' # if different than 'rinruby2'
-  self.developer('David Dahl', 'rinruby_AT_ddahl.org')
-  self.developer('Claudio Bustos', 'clbustos_AT_gmail.com')
-  self.urls = ["http://rinruby.ddahl.org/"]
-end
+RSpec::Core::RakeTask.new(:spec)
 
-# vim: syntax=ruby
+task :default => :spec