Mathpack

This gem includes collection of mathematical methods

Installation

Add this line to your application's Gemfile:

gem 'mathpack'

And then execute:

$ bundle

Or install it yourself as:

$ gem install mathpack

Information

Gem mathpack allows to count statistical functions throught Statistics class

Statistics

Statistics class have following methods

• number - returns a number of elements in series
• mean - returns a mean of series
• variance - returns a variance of series
• skewness - returns a skewness of series
• kurtosis - returns a kurtosis
• min - returns the minimal element of series
• max - returns the maxinal element of series
• number - returns a number of elements in array
• raw_moment - returns the nth raw moment of series
• central_moment - returns the nth central moment of series
• empirical_cdf - returns empirical distribution function value in some point
• empirical_pdf - returns empirical probability density function value in some point
• print_empirical_cdf_to_csv - allows to print empirical_cdf grafic values to .csv file with name filename
• print_empirical_cdf_to_csv - allows to print empirical_cdf grafic values to .csv file with name filename

Usage

stat = Mathpack::Statistics.new([1, 2, 5, 6])
stat.number() #=> 4
stat.mean() #=> 3.5
stat.variance() #=> 4.25 
stat.kurtosis() #=> -1.778546712802768
stat.skewness() #=> 0.0
stat.min() #=> 1
stat.max() #=> 6
stat.raw_moment(3) #=> 87.5 
stat.central_moment(4) #=> 22.0625
stat.empirical_cdf(5.5) #=> 0.75
stat.empirical_pdf(3) #=> 0.07639393483317147
stat.print_empirical_cdf_to_csv('cdf.csv') #=> nil
stat.print_empirical_pdf_to_csv('pdf.csv') #=> nil

Contributing

1. Fork it ( https://github.com/[my-github-username]/mathpack/fork )
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create a new Pull Request