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monkeypatched Array with some statistical methods
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| class Array | |
| def mean | |
| inject(:+).to_f / size | |
| end | |
| def median | |
| s = size | |
| idx1 = s / 2 | |
| sorted = sort | |
| if s.odd? | |
| sorted[idx1] | |
| else | |
| idx2 = idx1 - 1 | |
| (sorted[idx1] + sorted[idx2]) / 2 | |
| end | |
| end | |
| def mode | |
| frequencies = group_by { |i| count i} | |
| frequencies[frequencies.keys.max].first | |
| end | |
| def variance | |
| s = size | |
| sum, sum_of_squares = 0.0, 0.0 | |
| each do |item| | |
| sum += item | |
| sum_of_squares += item * item | |
| end | |
| sum_of_squares / s - sum * sum / s / s | |
| end | |
| def std_deviation | |
| variance ** 0.5 | |
| end | |
| # Magic number of 1.96 gives us 95% confidence: | |
| MAGIC_NUMBER = 1.96 | |
| def confidence_interval(magic_number = MAGIC_NUMBER) | |
| magic_number * (variance / size) ** 0.5 | |
| end | |
| def confidence_boundaries(magic_number = MAGIC_NUMBER) | |
| m = mean | |
| ci = confidence_interval(magic_number) | |
| [m - ci, m + ci] | |
| end | |
| end |
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