- Analysis of grouped or longitudinal data using linear mixed models
- Basic principles of statistics
- Categorical data analysis using logistic regression
- Graphics in R (FLAMES workshop)
- Introduction to Internet Questionnaires with QUALTRICS
- Introduction to JMP Pro 14 software
- Introduction to Stata
- Method in data collection
- Method in research design
- Method in scale construction
- Multiple linear regression and ANOVA
- Multivariate statistics
- R Workshop

R is a powerful, flexible and open-source software package for statistical data analysis and graphical data representation. In some research domains, such as bioinformatics and biostatistics, R is the most often used program for statistical analysis. Increasingly, implementations of new statistical methodology first appear in R as an add-on package.

The R workshop starts with an **online self-study introduction**, offered through **instruction videos**. Subsequently, **3 lectures with hands-on exercises** are given in a PC-class. By the time of the first lecture, participants should have completed the online part of the course.

For this course, we offer the** possibility to take an exam**. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.

If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.

At the end of the course, the student will be able to perform elementary data manipulation, graphics, text searching and statistical analysis using R. The parts of the course marked by an asterisk **(*)** are offered through online course material (instruction videos and online exercises).

- R language essentials
- data import, export and manipulation
**(*)** - different types of data and data structures
**(*)** - downloading packages
**(*)** - graphical representation of data
**(*)** - automation of procedures

- data import, export and manipulation

- Statistical analysis
- exploratory data analysis
- hypothesis testing
- linear regression and ANOVA

- Automation
- writing custom functions
- programming structures

- Working with text data
- Elementary function for text strings
- Regular expressions

This course is aimed at pre- and post doctoral researchers who are already familiar with elementary statistical data analysis, but who were using different software up to now.

***2 important remarks***

**-**This is not a statistics course. The lessons about statistical techniques will focus on how to perform these techniques in R, but the theory behind the techniques is assumed to be known. The statistical techniques themselves are not subject of this course.- The first part of the course (reading in data, data handling and graphics) is offered by
**online course material**(instruction videos plus online exercises), that will be made available before the onset of the course.**By the time of the first lecture, participants should have completed this online part of the course**.