[{"_1":2,"_174":-5,"_175":-5},"loaderData",{"_3":4,"_13":14,"_21":22,"_149":150},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","routes/_layout",{"_15":-5,"_16":17,"_18":17,"_19":11,"_20":11},"username","isAskGordonEnabled",true,"isUsingNewTemplate","showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_23":24,"_25":-5,"_26":11,"_27":11,"_28":29,"_30":31,"_32":-5,"_33":11,"_34":35,"_84":-5,"_85":86,"_140":-5,"_141":11,"_142":17,"_143":11,"_144":-5,"_145":11,"_146":-5,"_147":148},"canonicalUrl","https://hub.docker.com/r/mlampros/texttinyr/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","mlampros","reponame","texttinyr","cloudBuildSource","isAutobuildsAvailable","repo",{"_36":37,"_38":39,"_41":42,"_43":44,"_45":11,"_46":47,"_48":49,"_50":51,"_53":31,"_28":29,"_54":55,"_56":40,"_57":58,"_59":60,"_61":62,"_63":-5,"_64":58,"_65":66,"_67":11,"_68":29,"_69":70,"_75":11,"_76":77,"_81":29,"_82":83},"categories",[],"content_types",[40],"image","date_registered","2020-02-06T13:18:39.672865Z","description","docker image for the textTinyR package","is_private","last_updated","2023-12-05T08:40:29.916463Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[52],"application/vnd.oci.image.index.v1+json","name","pull_count",127,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","\n[![tic](https://github.com/mlampros/textTinyR/workflows/tic/badge.svg?branch=master)](https://github.com/mlampros/textTinyR/actions)\n[![codecov.io](https://codecov.io/github/mlampros/textTinyR/coverage.svg?branch=master)](https://codecov.io/github/mlampros/textTinyR?branch=master)\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/textTinyR)](http://cran.r-project.org/package=textTinyR)\n[![Downloads](http://cranlogs.r-pkg.org/badges/grand-total/textTinyR?color=blue)](http://www.r-pkg.org/pkg/textTinyR)\n $\"Buy$ \n[![Dependencies](https://tinyverse.netlify.com/badge/textTinyR)](https://cran.r-project.org/package=textTinyR)\n[![](https://img.shields.io/docker/automated/mlampros/texttinyr.svg)](https://hub.docker.com/r/mlampros/texttinyr)\n\n\n## textTinyR\n
\n\nThe *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](http://mlampros.github.io/2017/01/05/textTinyR_package/) and [blog-post2](http://mlampros.github.io/2018/04/04/extending_textTinyR_package/). 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.\n\n\n
\n\n\n**UPDATE 01-04-2018** : *boost-locale* is no longer a system requirement for the textTinyR package.\n\n\n
\n\n\n### **Installation of the textTinyR package (CRAN, Github)**\n\n
\n\nTo install the package from CRAN use, \n\n```R\n\ninstall.packages('textTinyR')\n\n\n```\n
\n\nand to download the latest version from Github use the *install_github* function of the devtools package,\n

\n\n```R\n\ndevtools::install_github(repo = 'mlampros/textTinyR')\n\n\n```\n
\nUse the following link to report bugs/issues,\n
\n\n[https://github.com/mlampros/textTinyR/issues](https://github.com/mlampros/textTinyR/issues)\n\n

\n\n\n**UPDATE 06-02-2020**\n\n
\n\n**Docker images** of the *textTinyR* package are available to download from my [dockerhub](https://hub.docker.com/r/mlampros/texttinyr) 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,\n\n
\n\n```R\n\ndocker pull mlampros/texttinyr:rstudiodev\n\ndocker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 mlampros/texttinyr:rstudiodev\n\n```\n\n
\n\nThe user can also **bind** a home directory / folder to the image to use its files by specifying the **-v** command,\n\n
\n\n```R\n\ndocker 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\n\n\n```\n\n
\n\nIn the latter case you might have first give permission privileges for write access to **YOUR_DIR** directory (not necessarily) using,\n\n
\n\n```R\n\nchmod -R 777 /home/YOUR_DIR\n\n\n```\n\n
\n\nThe **USER** defaults to *rstudio* but you have to give your **PASSWORD** of preference (see [www.rocker-project.org](https://www.rocker-project.org/) for more information).\n\n
\n\nOpen your web-browser and depending where the docker image was *build / run* give, \n\n
\n\n**1st. Option** on your personal computer,\n\n
\n\n```R\nhttp://0.0.0.0:8787 \n\n```\n\n
\n\n**2nd. Option** on a cloud instance, \n\n
\n\n```R\nhttp://Public DNS:8787\n\n```\n\n
\n\nto access the Rstudio console in order to give your username and password.\n\n
\n\n### **Citation:**\n\nIf 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](https://cran.r-project.org/web/packages/textTinyR/citation.html):\n\n
\n\n```R\n@Manual{,\n title = {{textTinyR}: Text Processing for Small or Big Data Files},\n author = {Lampros Mouselimis},\n year = {2021},\n note = {R package version 1.1.4},\n url = {https://CRAN.R-project.org/package=textTinyR},\n}\n```\n\n
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mlampros/texttinyr

Tags for mlampros/texttinyr