Pakiet: r-cran-bit (4.0.5-1)

[ Pakiet źródłowy: r-cran-bit  ]

GNU R class for vectors of 1-bit booleans

This GNU R package provides 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 one 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).

Inne pakiety związane z r-cran-bit

• dep: libc6 (>= 2.17)

  Biblioteka GNU C: biblioteki współdzielone
  również pakiet wirtualny udostępniany przez libc6-udeb

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-base-core (>= 4.2.2.20221110-1)

  GNU R core of statistical computation and graphics system

• sug: r-cran-bit64 (>= 4.0.0)

  GNU R S3 Class for Vectors of 64bit Integers

• sug: r-cran-ff (>= 4.0.0)

  Memory-Efficient Fast-Access Storage of Large Data

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-roxygen2

  in-line documentation for GNU R

• sug: r-cran-testthat (>= 0.11.0)

  GNU R testsuite

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