TODO.md

In cumplyr: Extends ddply to allow calculation of cumulative quantities.

• Where to add real error-checking?
• Need better examples and better documentation, especially of quirky "edge" cases
• Need to confirm system works with multiple inequality constraints
• Need to switch over to using iterators via the itertools package
• Use formula notation: iddply(data, ~ eq(Time, 0) + gt(Space, 1) + lt(Cats, 5) + norm(Dogs, 3), func…)
• Consider using strict inequality constraints in addition to loose inequalities.
• If func produces colnames, respect them.
• Add norm half-balls.

• Try using data.table to add indices on all subsetting columns.

• Cartesian product may be much larger than is "necessary": i.e. redundant columns

Benchmarking

• Generate data set of performance of code at time of each commit on several benchmarks.
• For each benchmark, demonstrate how performance depends on problem size.

Algorithms

• Try storing list of indices rather than building up actual subsets.

• Is there a way to do this that cuts down search time with each additional variable?

• Try out memoization. Store results comparisons so that items matching A == 'X' are maintained.

• Remove use of rbind().

cumplyr documentation built on May 2, 2019, 2:13 p.m.