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[ 原始碼： r-cran-collapse  ]

套件：r-cran-collapse（2.0.10-1）

r-cran-collapse 的相關連結

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GNU R advanced and fast data transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and non-destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical 

    functions supporting grouped and weighted computations on vectors,
    matrices and data frames. Fast and programmable grouping, ordering,
    unique values / rows, factor generation and interactions. Fast and
    flexible functions for data manipulation and data object
    conversions.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function, 
    weighted, parallelized and fully customized data aggregation.
(3) Advanced transformations: Fast row / column arithmetic, (grouped) 
    replacing and sweeping out of statistics, (grouped, weighted)
    scaling / standardizing, between (averaging) and (quasi-)within
    (centering / demeaning) transformations, higher-dimensional
    centering (i.e. multiple fixed effects transformations), linear
    prediction / partialling-out, linear model fitting and testing.
(4) Advanced time-computations: Fast (sequences of) lags / leads, and 
    (lagged / leaded, iterated, quasi-, log-) differences, (compounded)
    growth rates, and cumulative sums on (unordered, irregular) time
    series and panel data. Multivariate auto-, partial- and cross-
    correlation functions for panel data. Panel data to (ts-)array
    conversions.
(5) List processing: (Recursive) list search / identification, 
    splitting, extraction / subsetting, data-apply, and generalized
    recursive row-binding / unlisting in 2D.
(6) Advanced data exploration: Fast (grouped, weighted, panel- 
    decomposed) summary statistics for complex multilevel / panel data.

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下載可用於所有硬體架構的
硬體架構 套件大小 安裝後大小 檔案
alpha （非官方移植版） 2，943。4 kB4，807。0 kB [檔案列表]
amd64 3，020。7 kB4，530。0 kB [檔案列表]
arm64 2，901。9 kB4，358。0 kB [檔案列表]
armel 2，940。6 kB4，396。0 kB [檔案列表]
armhf 2，925。1 kB3，932。0 kB [檔案列表]
hppa （非官方移植版） 2，938。9 kB4，619。0 kB [檔案列表]
i386 3，052。2 kB4，747。0 kB [檔案列表]
ia64 （非官方移植版） 3，065。1 kB6，326。0 kB [檔案列表]
m68k （非官方移植版） 2，924。3 kB4，287。0 kB [檔案列表]
mips64el 2，865。6 kB4，669。0 kB [檔案列表]
ppc64 （非官方移植版） 2，965。3 kB4，815。0 kB [檔案列表]
ppc64el 2，979。9 kB4，742。0 kB [檔案列表]
riscv64 2，979。8 kB4，077。0 kB [檔案列表]
s390x 3，062。7 kB4，674。0 kB [檔案列表]
sh4 （非官方移植版） 3，089。6 kB4，419。0 kB [檔案列表]
sparc64 （非官方移植版） 2，883。9 kB5，013。0 kB [檔案列表]
x32 （非官方移植版） 3，000。5 kB4，429。0 kB [檔案列表]