[ruby-core:122842] [Ruby Feature#21518] Statistical helpers to `Enumerable`
Issue #21518 has been reported by Amitleshed (Amit Leshed). ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by Dan0042 (Daniel DeLorme). In favor, just careful about the bug in #median ```ruby x = [1, 3, 2] x.median #=> 2 x #=> [1, 2, 3] modified by #median ``` ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114147 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by Amitleshed (Amit Leshed). Dan0042 (Daniel DeLorme) wrote in #note-1:
In favor, just careful about the bug in #median ```ruby x = [1, 3, 2] x.median #=> 2 x #=> [1, 2, 3] modified by #median ``` You'll want to use `arr = entries` rather than `arr = to_a`
Right. Great catch. Dan0042 (Daniel DeLorme) wrote in #note-1:
In favor, just careful about the bug in #median ```ruby x = [1, 3, 2] x.median #=> 2 x #=> [1, 2, 3] modified by #median ``` You'll want to use `arr = entries` rather than `arr = to_a`
Thanks, great catch! ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114148 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by Amitleshed (Amit Leshed). Thanks, great catch! ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114149 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by herwin (Herwin W). Ranges might need their own specialised implementation: this implementation will timeout on infinite ranges, and `(1..100000).average` (or `.median`) can be calculated without having to create an intermediate array. (Why anyone would want to calculate these values from this kind of Ranges is beyond me, but that's another issue) ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114156 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by Amitleshed (Amit Leshed). *** Thanks for the engagement everyone *** Here's a refactored version: ``` ruby module Enumerable def average return nil if none? return range_midpoint if numeric_range? total = 0.0 count = 0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end total / count end def median return nil if none? return range_midpoint if numeric_range? arr = entries arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end private def numeric_range? is_a?(Range) && first.is_a?(Numeric) && last.is_a?(Numeric) end def range_midpoint max = exclude_end? ? (last - step) : last (first + max) / 2.0 end end ``` ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114157 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by mame (Yusuke Endoh). Naturally, these methods have been desired by some people for a very long time, but Ruby has historically been very cautious about introducing them. Even the obviously useful `#sum` method was only added in 2016, which is relatively recent in Ruby's history. One reason behind this caution is the reluctance to add methods to Array that assume all elements are Integer or Float. Since Array can contain Strings or other non-numeric objects, there's a question of whether it is appropriate to add methods that make no sense in such cases. The reason why `#sum` was eventually added was the growing attention to an algorithm called the Kahan-Babuska Summation Algorithm. This is a clever algorithm that reduces floating-point error when summing, and it is actually implemented in `Array#sum`. Before this algorithm gained attention, I remember the prevailing opinion was that it should be written explicitly, like `ary.inject(0, &:+)`. For now, you may want to try using https://github.com/red-data-tools/enumerable-statistics to get a better idea of what you actually need. ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114167 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by matheusrich (Matheus Richard). I wonder if these helpers could be inside `Math::Statistics`: ```rb Math::Statistics.average(some_enumerable) ``` I think it would be okay for this module to assume the arguments are numeric. ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114191 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by matz (Yukihiro Matsumoto). I am positive about adding those methods, but I am no expert on Mathematics nor Statistics. Matz. ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114313 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by mrkn (Kenta Murata). Hi. I'm a creator of enumerable-statistics gem and the original proposer of `Array#sum` and `Enumerable#sum`. In general, adding only `mean` (I prefer `mean` over `average`, see below) and `median` won't cover real-world statistical needs. When a sample mean is required, variance or standard deviation usually follow; where a sample median is used, quantiles or percentiles typically follow. Truly “median-only” scenarios are rare in my experience. If these are added to core, we should set a high bar: numerically stable, one-pass algorithms with a C implementation for performance; and for median/percentiles computations, avoid full sort in favor of selection algorithms such as quickselect. The enumerable-statistics gem already provides a simple one-pass combined methods such as `mean_variance` and `mean_stdev`. `median` and `percentile` for Enumerable remain to be implemented. On naming: I strongly prefer `mean` over `average` for consistency with other programming languages and libraries (cf. #18057 note-8). Across Python/NumPy/Pandas, R, Julia, MATLAB, and so on,—`mean` is the standard term and API name. Aligning with that convention keeps Ruby familiar to users who work across stacks (acknowledging that a few general-purpose APIs, e.g., LINQ, use average). ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114363 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by matheusrich (Matheus Richard). An `average` alias would be nice, though. ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114372 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
Issue #21518 has been updated by Eregon (Benoit Daloze). mrkn (Kenta Murata) wrote in #note-12:
In general, adding only `mean` (I prefer `mean` over `average`, see below) and `median` won't cover real-world statistical needs. When a sample mean is required, variance or standard deviation usually follow; where a sample median is used, quantiles or percentiles typically follow. Truly “median-only” scenarios are rare in my experience.
I think `mean` and `median` are frequently needed (at least I have reimplemented them many times) and would be worth adding to Array. Not sure of the value to add them to Enumerable instead of Array (it would be much slower implemented on Enumerable). I typically use the [median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) as a robust measure of the variability when using the median, and that can be trivially implemented on top of `#median`. So for that case, only `median` is enough. Regarding variance or standard deviation those are not robust and over-influenced by outliers, so I think it would make sense to not provide them, because they are often no longer recommended. mrkn (Kenta Murata) wrote in #note-12:
avoid full sort in favor of selection algorithms such as quickselect.
That seems one good reason to add it in core, the optimal algorithm is actually non-trivial and cannot easily be done in a Ruby one-liner for `median`. `mean` is trivial but would still be nice to provide given it's so frequently used (also `data.sum / data.size.to_f` is not so pretty)). Percentiles would be nice, especially if there is a more efficient algorithm for them than just sorting + indexing. Percentiles are frequently useful e.g. to characterize response time/latency and also for boxplots. It's also a more robust way (e.g. with quartiles, so just 25 and 75 percentiles) to measure the variability than the standard deviation. ---------------------------------------- Feature #21518: Statistical helpers to `Enumerable` https://bugs.ruby-lang.org/issues/21518#change-114374 * Author: Amitleshed (Amit Leshed) * Status: Open ---------------------------------------- **Summary** I'd like to add two statistical helpers to `Enumerable`: - `Enumerable#average` (arithmetic mean) - `Enumerable#median` Both are small, well-defined operations that many Rubyists re-implement in apps and gems. Providing them in core avoids repeated, ad-hoc code and aligns with `Enumerable#sum`, which Ruby already ships. **Motivation** - These are among the most common “roll-your-own” helpers for arrays/ranges of numbers. - They are conceptually simple, universally useful beyond web/Rails. - Similar to `sum`, they’re primitives for quick data analysis, ETL scripts, CLI tooling, etc. - Including them encourages consistent semantics (what to do with empty sets, mixed numerics, etc.). ## Proposed API & Semantics ```ruby Enumerable#average -> Float or nil Enumerable#median -> Numeric or nil ``` ```ruby [1, 2, 3, 4].average # => 2.5 (1..4).average # => 2.5 [].average # => nil [1, 3, 2].median # => 2 [1, 2, 3, 10].median # => 2.5 (1..6).median # => 3.5 [].median # => nil ``` Ruby implementation ```ruby module Enumerable def average count = 0 total = 0.0 each do |x| raise TypeError, "non-numeric value for average" unless x.is_a?(Numeric) total += x count += 1 end count.zero? ? nil : total / count end def median arr = to_a return nil if arr.empty? arr.each { |x| raise TypeError, "non-numeric value for median" unless x.is_a?(Numeric) } arr.sort! mid = arr.length / 2 arr.length.odd? ? arr[mid] : (arr[mid - 1] + arr[mid]) / 2.0 end end ``` **Upon approval I'm more than willing to implement spec and code in C.** -- https://bugs.ruby-lang.org/
participants (8)
-
Amitleshed (Amit Leshed) -
Dan0042 (Daniel DeLorme)
-
Eregon (Benoit Daloze)
-
herwin (Herwin W)
-
mame (Yusuke Endoh)
-
matheusrich (Matheus Richard)
-
matz (Yukihiro Matsumoto)
-
mrkn (Kenta Murata)