README.md

In hansquiogue/colabr: Functionalities for Google Colab notebooks running R

colabr

Improving or Fixing Functionality with R Notebooks in Google Colaboratory

colabr is a simple R package aimed at fixing other R package issues and help create better notebooks in Google Colaboratory. For more documentation and example usage of this package, you may reference and use this Colab notebook.

At the moment, spacyr, cleanNLP and text2vec are the only packages implemented with colabr that are working in Google Colab notebooks.

You may request other package fixes and other issues at [e-mail]

Installation

To install colabr, you must have created a new or are using an existing R notebook in Google Colab.

An easy way to create one is following this link, assuming that you have logged in with your Google account already. The notebook will be stored under 'Colab Notebooks' in the root directory of your Google Drive. You may move this notebook anywhere in your Google Drive if you prefer.

Once inside a R notebook in Google Colab, you need to have devtools installed. You may run the code below inside a code chunk inside the notebook:

install.packages('devtools')

Once that's done, you can install colabr with the following code:

devtools::install_github('hansquiogue/colabr')

After the package is finished downloading you can load the library like so:

library(colabr)

That's it! You are now able to use the colabr package.

Note that you will need to repeat the installation process everytime you start a new Colab runtime.

Fixes

spacyr

Initalizing spacyr will not work properly in Google Colab. This package will simplify and fix the initialization process. For a full guide, please visit this notebook.

cleanNLP

Like spacyr, cleanNLP will not initialize properly in Colab. The process is nearly identical to spacyr and be viewed in this notebook.

text2vec

Interactive LDA plots from text2vec do not work in Google Colab. To fix this, localtunnel is used to create a publicly hosted local server for the visualization. For the full guide, here's the notebook.

Quality of Life

Alerts

With this package, you are able to create alert messages to make your text stand out more. Here's the notebook of the full alert guide.

Downloading Files

Downloading files in R notebooks in Colab can be bit tricky. Colabr simplifies the process with minimal setup and code. For the full guide, here's the notebook.

hansquiogue/colabr documentation built on Feb. 14, 2021, 6:12 p.m.