mlampros/texttinyr repository overview

⁠textTinyR

The textTinyR package consists of text processing functions for small or big data files. More details on the functionality of textTinyR can be found in blog-post1⁠ and blog-post2⁠. The R package can be installed, in the following Operating Systems: Linux, Mac and Windows. However, there is one limitation : chinese, japanese, korean, thai or languages with ambiguous word boundaries are not supported.

UPDATE 01-04-2018 : boost-locale is no longer a system requirement for the textTinyR package.

⁠Installation of the textTinyR package (CRAN, Github)

To install the package from CRAN use,

install.packages('textTinyR')

and to download the latest version from Github use the install_github function of the devtools package,

devtools::install_github(repo = 'mlampros/textTinyR')

https://github.com/mlampros/textTinyR/issues⁠

UPDATE 06-02-2020

Docker images of the textTinyR package are available to download from my dockerhub⁠ account. The images come with Rstudio and the R-development version (latest) installed. The whole process was tested on Ubuntu 18.04. To pull & run the image do the following,

docker pull mlampros/texttinyr:rstudiodev

docker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 mlampros/texttinyr:rstudiodev

The user can also bind a home directory / folder to the image to use its files by specifying the -v command,

docker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 -v /home/YOUR_DIR:/home/rstudio/YOUR_DIR mlampros/texttinyr:rstudiodev

In the latter case you might have first give permission privileges for write access to YOUR_DIR directory (not necessarily) using,

chmod -R 777 /home/YOUR_DIR

The USER defaults to rstudio but you have to give your PASSWORD of preference (see www.rocker-project.org⁠ for more information).

Open your web-browser and depending where the docker image was build / run give,

1st. Option on your personal computer,

http://0.0.0.0:8787 

2nd. Option on a cloud instance,

http://Public DNS:8787

to access the Rstudio console in order to give your username and password.

⁠Citation:

If you use the code of this repository in your paper or research please cite both textTinyR and the original software https://cran.r-project.org/web/packages/textTinyR/citation.html⁠:

@Manual{,
  title = {{textTinyR}: Text Processing for Small or Big Data Files},
  author = {Lampros Mouselimis},
  year = {2021},
  note = {R package version 1.1.4},
  url = {https://CRAN.R-project.org/package=textTinyR},
}