The use of R in the data science field has increased enormously the last few years. One very useful toolkit for a wide variety of analyses is the ‘tidyverse’: a collection of R-packages used for data manipulation, exploration and visualization that share a common design philosophy.

Tidyverse packages are intended to make statisticians and data scientists more productive by guiding them through workflows that facilitate communication, and result in reproducible work products.

In this workshop you will learn:

The difference between tidy and untidy data

How to create tidy datasets and manipulate them using the main tidyr and dplyr verbs

Make your results reproducible by using Rmarkdown and Rstudio

Integrate data visualisation into your workflow using ggplot2

Apply the tidyverse to biological problems

A very basic knowledge of the R programming language (or any other programming language) is expected.

Please remember to bring your own laptop with the last version of R installed.

FREE REGISTRATION https://bbc2017blog.wordpress.com/workshops/

Daniele Parisi
 
 PhD student at ESAT - STADIUS, Yves Moreau's group
 President of RSG Belgium

Board member of PhD Leuven society 
 
 Kasteelpark Arenberg 10 - box 2446
 3001 Leuven, Belgium 
 
 Tel: +32488794394art