Introduction to data analysis with R

[6 half days] - [English]

Do you need a few reminders about statistics? Do you want to learn how to (better) use R? Do you want to be able to analyze data with a tool that is more and more widely used around the world?

The R language is a computing environment and a very flexible and rich progamming 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
This training has two objectives. First, the standard tools of the R language will be introduced. Secondly, this training aims to give participants the necessary knowledge for the basic statistical analysis of their data starting with the importation and the formatting of the data.

Prerequisites
This training requires a basic knowledge of statistics.

Content

• Discovering R, standard commands, syntax, presentation of the help pages
• Data management
• Statistical toolbox
• Basic statistical analysis : descriptive analysis, linear regression, ANOVA, test on proportions, goodness of fit test

Tools used during training
R

Methods and method families discussed
Data processing
   Data set cleaning and processing for statistical analysis
Descriptive statistics
   Descriptive statistics
   Summary tables
   Charts
Parametric statistics of mean comparison
   Student's t-test
   ANOVA
Regression model
   Simple linear regression
   Logistic regression
   Multiple linear regression