Take your R scripts to a new planet: Jupyter notebooks with R!

T'agradaria aprendre a combinar els teus scripts de R amb text enriquit, explicacions de cada pas i les gràfiques corresponents? En aquesta trobada utilitzarem R mitjançant l’aplicació de Jupyter Notebook.

https://avatars3.githubusercontent.com/u/7388996?s=400&v=4

La sessió serà una introducció a aquesta útil eina de treball, començant des dels passos de instal·lació, exemples bàsics fins a casos més sofisticats d’anàlisi utilitzant dades científiques.

Tot i que donarem instruccions a l’aula, recomanem que us instal·leu anaconda prèviament. Necessitareu:

• Go to https://www.anaconda.com/download and download the appropriate version of anaconda. Then execute the downloaded sh script to install.


• Create a new, specific R environment and install the essential r packages and the IRKernel by typing at the terminal: conda create -n my_r_env_name -c r r-essentials r-irkernel


• Activate the environment by typing at the terminal: source activate my_r_env_name


• Install the nb_conda package by typing at the terminal: conda install nb_conda


• Install the plotting libraries required for our examples: conda install r-gplots r-ggplot2

Ens veiem ben aviat!

____ English version ______________________

Would you like to learn how to combine your R scripts with enriched text explanations and graphs? In this meetup, we will run R code through the Jupyter Notebook app.

https://avatars3.githubusercontent.com/u/7388996?s=400&v=4

This will be an introduction to this tool, starting from installation and setup and basic examples, and building up to more sophisticated examples with using scientific data.

Although we will give setup instructions there, it is recommended that you install anaconda in advance to the meetup. You will need to:

• Go to https://www.anaconda.com/download and download the appropriate version of anaconda. Then execute the downloaded sh script to install.


• Create a new, specific R environment and install the essential r packages and the IRKernel by typing at the terminal: conda create -n my_r_env_name -c r r-essentials r-irkernel


• Activate the environment by typing at the terminal: source activate my_r_env_name


• Install the nb_conda package by typing at the terminal: conda install nb_conda


• Install the plotting libraries required for our example: r-gplots and r-ggplot2

See you all there!