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rrapply  

Revisiting Base Rapply
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rrapply", "1.2.8")



Attach the package and use:
library("rrapply")
Maintained by
Joris Chau
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update: 2024-06-26
Description:
The minimal 'rrapply'-package contains a single function rrapply(), providing an extended implementation of 'R'-base rapply() by allowing to recursively apply a function to elements of a nested list based on a general condition function and including the possibility to prune or aggregate nested list elements from the result. In addition, special arguments can be supplied to access the name, location, parents and siblings in the nested list of the element under evaluation. The rrapply() function builds upon rapply()'s native 'C' implementation and requires no other package dependencies.
How to cite:
Joris Chau (2020). rrapply: Revisiting Base Rapply. R package version 1.2.8, https://cran.r-project.org/web/packages/rrapply. Accessed 11 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-06-04 16:30), 1.1.0 (2020-07-05 00:50), 1.2.0 (2020-10-12 14:10), 1.2.1 (2020-11-07 12:00), 1.2.2 (2021-01-25 15:30), 1.2.3 (2021-02-08 13:00), 1.2.4 (2022-03-07 11:40), 1.2.5 (2022-07-21 12:40), 1.2.6 (2022-10-16 16:20), 1.2.7 (2024-06-26 17:00)
Other packages that cited rrapply R package
View rrapply citation profile
Other R packages that rrapply depends, imports, suggests or enhances
Complete documentation for rrapply
Functions, R codes and Examples using the rrapply R package
Some associated functions: pokedex . renewable_energy_by_country . rrapply . 
Some associated R codes: data.R . rrapply.R .  Full rrapply package functions and examples
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