软件包：r-cran-collapse（1.9.2-1）

[ 源代码： r-cran-collapse  ]

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.

其他与 r-cran-collapse 有关的软件包

• dep: libc6 (>= 2.29)

  GNU C 语言运行库：共享库
  同时作为一个虚包由这些包填实： libc6-udeb

• dep: libgcc-s1 (>= 3.0) [amd64, i386, mipsel, s390x]

  GCC 支持库

  dep: libgcc-s1 (>= 3.4.4) [ppc64el]

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

  dep: libgcc-s1 (>= 4.5) [arm64, mips64el]

• dep: libgomp1 (>= 4.9)

  GCC OpenMP（GOMP）支持库

• dep: libstdc++6 (>= 5.2)

  GNU 标准 C++ 库，第3版

• dep: r-api-4.0

  本虚包由这些包填实： r-base-core

• dep: r-base-core (>= 4.2.2.20221110-2)

  GNU R core of statistical computation and graphics system

• dep: r-cran-rcpp (>= 1.0.1)

  GNU R package for Seamless R and C++ Integration

• sug: r-cran-covr

  test coverage for GNU R packages

• sug: r-cran-data.table

  GNU R extension of Data.frame

• sug: r-cran-dplyr

  GNU R grammar of data manipulation

• sug: r-cran-ggplot2

  implementation of the Grammar of Graphics

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-magrittr

  GNU R forward-pipe operator

• sug: r-cran-plm

  GNU R estimators and tests for panel data econometrics

• sug: r-cran-rcpparmadillo

  GNU R package for Armadillo C++ linear algebra library

• sug: r-cran-rcppeigen

  GNU R package for Eigen templated linear algebra

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-scales

  Scale functions for visualization

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-tibble

  GNU R Simple Data Frames

• sug: r-cran-xts

  GNU R package for time series analysis -- xts

• sug: r-cran-zoo

  GNU R package for totally ordered indexed observations

下载 r-cran-collapse

下载可用于所有硬件架构的

硬件架构	软件包大小	安装后大小	文件
amd64	2,625.3 kB	3,921.0 kB	[文件列表]
arm64	2,523.6 kB	3,721.0 kB	[文件列表]
armel	2,560.7 kB	3,795.0 kB	[文件列表]
armhf	2,543.6 kB	3,367.0 kB	[文件列表]
i386	2,665.3 kB	4,166.0 kB	[文件列表]
mips64el	2,495.9 kB	4,095.0 kB	[文件列表]
mipsel	2,485.8 kB	4,131.0 kB	[文件列表]
ppc64el	2,600.3 kB	4,169.0 kB	[文件列表]
s390x	2,573.4 kB	3,989.0 kB	[文件列表]