Data manipulation and visualisation with R

[4 half days] - [English]

Do you want to get started with reproducible data analysis with R, one of the most used software for the analysis of high throughput biology data?

The R language is a computing environment and a very flexible and rich programming language used for statistical data analysis. It's a free and open source software that is regularly enriched with new libraries of functions provided by users. In particular, everyone can create a package.

Training aims
The goal of this training is to initiate wet-lab scientists to reproducible data analysis with R and its RStudio integrated environment, focusing on data manipulation, data visualisation and basic data analysis.

Prerequisites
This training doesn’t require any previous knowledge of R.

Content

• Discovering R, and the RStudio environment
• Importance of tidy data in general and how it translates into dataframes in R
• Data manipulation and analysis using R standard commands and the tidyverse packages
• Data visualisation with ggplot2

Rate
This training course is recognized by the IABE, enabling participants to earn CPD points.
(Note that this is true for all SMCS courses.)

Tools used during training
R

Methods and method families discussed
Software use
   Software use

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