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,
and to download the latest version from Github use the install_github function of the devtools package,
Use the following link to report bugs/issues,
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,
The user can also bind a home directory / folder to the image to use its files by specifying the -v command,
In the latter case you might have first give permission privileges for write access to YOUR_DIR directory (not necessarily) using,
The USER defaults to rstudio but you have to give your PASSWORD of preference (see https://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,
2nd. Option on a cloud instance,
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/package=textTinyR/citation.html:
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