== Data Frame This is a general data frame. Load arrays and labels into it, and you will have a very powerful set of tools on your data set. ==Usage df = DataFrame.from_csv('http://archive.ics.uci.edu/ml/machine-learning-databases/forest-fires/forestfires.csv') df.labels # => [:x, :y, :month, :day, :ffmc, :dmc, :dc, :isi, :temp, :rh, :wind, :rain, :area] df.dmc # => [26.2, 35.4, 43.7, 33.3, 51.3, 85.3,...] df.dmc.max # => 291.3 df.dmc.min # => 1.1 df.dmc.mean # => 110.872340425532 df.dmc.std # => 64.0464822492543 df = DataFrame.new(:list, :of, :things) # => # df.labels # => [:list, :of, :things] df << [1,2,3] # => [[1, 2, 3]] df.import([[2,3,4],[5,6,7]]) # => [[2, 3, 4], [5, 6, 7]] df.items # => [[1, 2, 3], [2, 3, 4], [5, 6, 7]] df.list # => [1, 2, 5] df.list.correlation(df.things) # => 1.0 df.list # => [1, 2, 5] df.things # => [3, 4, 7] There are a few important features to know: * DataFrame.from_csv works for a string, a filename, or a URL. * FasterCSV parsing parameters can be passed to DataFrame.from_csv * DataFrame looks for operations first on the column labels, then on the row labels, then on the items table. So don't name things :mean, :standard_deviation, :min, and that sort of thing. * CallbackArray allows you to set a callback anytime an array is tainted or untainted (taint, shift, pop, clear, map!, that sort of thing). This is generally useful and will probably be copied into the Repositories gem. * TransposableArray is a subclass of CallbackArray, demonstrating how to use it. It creates a very simple approach to memoization. It caches the transpose of the table and resets it whenever it is tainted. To get your feet wet, you may want to play with data sets found here: http://www.liaad.up.pt/~ltorgo/Regression/DataSets.html ==Installation sudo gem install davidrichards-data_frame === Dependencies * ActiveSupport: sudo gem install active_support * JustEnumerableStats: sudo gem install davidrichards-just_enumerable_stats * FasterCSV: sudo gem install faster_csv ==COPYRIGHT Copyright (c) 2009 David Richards. See LICENSE for details.