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orgR  

Analyse Text Files Created by Emacs' Org mode
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("orgR", "0.9.0")



Attach the package and use:
library("orgR")
Maintained by
Yi Tang
[Scholar Profile | Author Map]
First Published: 2014-12-20
Latest Update: 2014-12-20
Description:
Provides functionality to process text files created by Emacs' Org mode, and decompose the content to the smallest components (headlines, body, tag, clock entries etc). Emacs is an extensible, customizable text editor and Org mode is for keeping notes, maintaining TODO lists, planning projects. Allows users to analyze org files as data frames in R, e.g., to convieniently group tasks by tag into project and calculate total working hours. Also provides some help functions like search.parent, gg.pie (visualise working hours in ggplot2) and tree.headlines (visualise headline stricture in tree format) to help user managing their complex org files.
How to cite:
Yi Tang (2014). orgR: Analyse Text Files Created by Emacs' Org mode. R package version 0.9.0, https://cran.r-project.org/web/packages/orgR. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited orgR R package
View orgR citation profile
Other R packages that orgR depends, imports, suggests or enhances
Complete documentation for orgR
Functions, R codes and Examples using the orgR R package
Some associated functions: GetClockTable . GetHeadlines . ToISOdate . orgR . search.parent . time.stampe . tree.headings . 
Some associated R codes: clock.table.R . headlines.R . methods.R . orgR.R .  Full orgR package functions and examples
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