Other packages > Find by keyword >

progressr  

An Inclusive, Unifying API for Progress Updates
View on CRAN: Click here


Download and install progressr package within the R console
Install from CRAN:
install.packages("progressr")

Install from Github:
library("remotes")
install_github("cran/progressr")

Install by package version:
library("remotes")
install_version("progressr", "0.15.1")



Attach the package and use:
library("progressr")
Maintained by
Henrik Bengtsson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-23
Latest Update: 2023-08-10
Description:
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(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), 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 API:s 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.
How to cite:
Henrik Bengtsson (2020). progressr: An Inclusive, Unifying API for Progress Updates. R package version 0.15.1, https://cran.r-project.org/web/packages/progressr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.4.0 (2020-01-23 15:10), 0.5.0 (2020-04-17 14:10), 0.6.0 (2020-05-19 08:30), 0.7.0 (2020-12-11 23:50), 0.8.0 (2021-06-10 07:10), 0.9.0 (2021-09-24 16:30), 0.10.0 (2021-12-19 04:50), 0.10.1 (2022-06-03 11:20), 0.11.0 (2022-09-02 10:10), 0.12.0 (2022-12-13 07:50), 0.13.0 (2023-01-10 08:30), 0.14.0 (2023-08-11 00:50), 0.15.0 (2024-10-29 06:40)
Other packages that cited progressr R package
View progressr citation profile
Other R packages that progressr depends, imports, suggests or enhances
Complete documentation for progressr
Functions, R codes and Examples using the progressr R package
Some associated functions: global_progression_handler . handler_ascii_alert . handler_beepr . handler_cli . handler_debug . handler_filesize . handler_newline . handler_notifier . handler_pbcol . handler_pbmcapply . handler_progress . handler_rpushbullet . handler_rstudio . handler_shiny . handler_tkprogressbar . handler_txtprogressbar . handler_void . handler_winprogressbar . handlers . make_progression_handler . progress . progress_aggregator . progress_progressr . progression . progressor . progressr . progressr.options . register_global_progression_handler . slow_sum . withProgressShiny . with_progress . 
Some associated R codes: control_progression.R . delays.R . global_progression_handler.R . handler_ascii_alert.R . handler_beepr.R . handler_cli.R . handler_debug.R . handler_filesize.R . handler_newline.R . handler_notifier.R . handler_pbcol.R . handler_pbmcapply.R . handler_progress.R . handler_rpushbullet.R . handler_rstudio.R . handler_shiny.R . handler_tkprogressbar.R . handler_txtprogressbar.R . handler_void.R . handler_winprogressbar.R . handlers.R . make_calling_handler.R . make_progression_handler.R . options.R . plyr_progress_progressr.R . progress.R . progress_aggregator.R . progression.R . progressor.R . progressr-package.R . slow_sum.R . utils.R . uuid.R . vignette_engine.R . withProgressShiny.R . with_progress.R . without_progress.R . zzz.R .  Full progressr package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA