Пакунок: r-cran-progressr (0.13.0-1)

[ Source: r-cran-progressr  ]

GNU R inclusive, unifying API for progress updates

A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.

Інші пакунки пов'язані з r-cran-progressr

• dep: r-api-4.0

  virtual package provided by r-base-core

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

  GNU R core of statistical computation and graphics system

• dep: r-cran-digest

  GNU R package for 'hash digest' of R data structures

• rec: r-cran-future

  R package: A Future API for R

• sug: r-cran-base64enc

  GNU R package that provides tools for base64 encoding

• sug: r-cran-cli

  GNU R helpers for developing command line interfaces

• sug: r-cran-commonmark

  high performance CommonMark and Github markdown rendering in R

• sug: r-cran-crayon

  GNU R colored terminal output

• sug: r-cran-foreach

  GNU R foreach looping support

• sug: r-cran-furrr

  GNU R apply mapping functions in parallel using futures

• sug: r-cran-future.apply

  apply function to elements in parallel using futures

• sug: r-cran-pbmcapply

  GNU R tracking the progress of Mc*pply with progress bar

• sug: r-cran-plyr

  tools for splitting, applying and combining data

• sug: r-cran-progress

  GNU R terminal progress bars

• sug: r-cran-purrr

  GNU R functional programming tools

• sug: r-cran-rstudioapi

  GNU R package for access to the RStudio API

• sug: r-cran-shiny

  GNU R web application framework

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