GForce could be even smarter

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
r
Domain
performance

Research direction

Start by reviewing pull request #7401 and the linked discussion that motivated this issue. Examine the listed GForce aggregation and expression-rewriting goals, then narrow them to a concrete scope with measurable single-pass or caching behavior. Done should include an agreed implementation target and coverage for the selected expression cases.

Written by the indexing model from the issue text.

Description

GForce

reading this inspires some stretch goals for future work:

  • GForce for simple regression coefficients ((mean(x*y) - mean(x)*mean(y))/(mean(x^2) - mean(x)^2))
  • sqrt(min(a)) could do GForce aggregation
  • list(mean(x)/sd(x), mean(x), sd(x)) could only compute mean(), sd() once
  • max(x) - min(x) could compute range() with GForce and then derive min, max (i.e., single pass instead of two)

Originally posted by @MichaelChirico in https://github.com/Rdatatable/data.table/pull/7401#discussion_r2667438440

#7401 is a nice start, but we could start caching and rewriting things more to spare some passes over data

Dominant language
R
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Avg merge
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Merged PRs (30d)
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