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[ 原始碼： r-cran-collapse  ]

套件：r-cran-collapse（2.0.16-1）

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 r-cran-collapse

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
amd64 3，233。6 kB5，254。0 kB [檔案列表]
arm64 3，106。3 kB5，031。0 kB [檔案列表]
armel 3，126。9 kB4，972。0 kB [檔案列表]
armhf 3，109。2 kB4，432。0 kB [檔案列表]
i386 3，222。4 kB5，339。0 kB [檔案列表]
mips64el 3，050。7 kB5，280。0 kB [檔案列表]
ppc64el 3，176。2 kB5，414。0 kB [檔案列表]
riscv64 3，183。9 kB4，605。0 kB [檔案列表]
s390x 3，248。2 kB5，266。0 kB [檔案列表]