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CVS log for pkgsrc/devel/R-bit/DESCR

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Revision 1.1 / (download) - annotate - [select for diffs], Tue Mar 6 17:06:28 2018 UTC (4 years, 10 months ago) by minskim
Branch: MAIN
CVS Tags: pkgsrc-2022Q4-base, pkgsrc-2022Q4, pkgsrc-2022Q3-base, pkgsrc-2022Q3, pkgsrc-2022Q2-base, pkgsrc-2022Q2, pkgsrc-2022Q1-base, pkgsrc-2022Q1, pkgsrc-2021Q4-base, pkgsrc-2021Q4, pkgsrc-2021Q3-base, pkgsrc-2021Q3, pkgsrc-2021Q2-base, pkgsrc-2021Q2, pkgsrc-2021Q1-base, pkgsrc-2021Q1, pkgsrc-2020Q4-base, pkgsrc-2020Q4, pkgsrc-2020Q3-base, pkgsrc-2020Q3, pkgsrc-2020Q2-base, pkgsrc-2020Q2, pkgsrc-2020Q1-base, pkgsrc-2020Q1, pkgsrc-2019Q4-base, pkgsrc-2019Q4, pkgsrc-2019Q3-base, pkgsrc-2019Q3, pkgsrc-2019Q2-base, pkgsrc-2019Q2, pkgsrc-2019Q1-base, pkgsrc-2019Q1, pkgsrc-2018Q4-base, pkgsrc-2018Q4, pkgsrc-2018Q3-base, pkgsrc-2018Q3, pkgsrc-2018Q2-base, pkgsrc-2018Q2, pkgsrc-2018Q1-base, pkgsrc-2018Q1, HEAD

devel/R-bit: Import version 1.1.12

bitmapped vectors of booleans (no NAs), coercion from and to logicals,
integers and integer subscripts; fast boolean operators and fast
summary statistics. With 'bit' vectors you can store true binary
booleans {FALSE,TRUE} at the expense of 1 bit only, on a 32 bit
architecture this means factor 32 less RAM and ~ factor 32 more speed
on boolean operations. Due to overhead of R calls, actual speed gain
depends on the size of the vector: expect gains for vectors of size >
10000 elements. Even for one-time boolean operations it can pay-off to
convert to bit, the pay-off is obvious, when such components are used
more than once. Reading from and writing to bit is approximately as
fast as accessing standard logicals - mostly due to R's time for
memory allocation. The package allows to work with pre-allocated
memory for return values by calling .Call() directly: when evaluating
the speed of C-access with pre-allocated vector memory, coping from
bit to logical requires only 70% of the time for copying from logical
to logical; and copying from logical to bit comes at a performance
penalty of 150%. the package now contains further classes for
representing logical selections: 'bitwhich' for very skewed selections
and 'ri' for selecting ranges of values for chunked processing. All
three index classes can be used for subsetting 'ff' objects (ff-2.1-0
and higher).

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