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,
devtools::install_github(repo = 'mlampros/textTinyR')
Use the following link to report bugs/issues,
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,
2nd. Option on a cloud instance,
to access the Rstudio console in order to give your username and password.