What is R?
R is a program package for statistical data analysis, modelling and visualization. The program is executable under many platforms like UNIX, Windows and Macintosh. One of the biggest advantages of R is that the program is freely available as an open source software (www.r-project.org). Due to that unrestricted access, R has developed to one of the standard statistical software in universities and research institutions in the last years.
Principle of the Course
Learning a software is impossible without own practice! In the course the different subjects are presented and clarified by examples. In addition, further example data sets are provided for exercises in order to get a deeper understanding.
The workshop is divided into three elements – input sessions (video recordings, questions via chat), exercises (offline, each to their own), Q&A sessions (IN PERSON).
Topics of the Course
The course will cover the following main topics:
- Basics of R
- Data management in R
- Graphics in R
- Statistical background
- Descriptive statistics
- Statistical hypothesis tests
Course Objectives
After the course participants should:
- have lost the fear of using R
- have learned the basic functions of R
- know how to import and export raw data in R
- be able to create a descriptive and graphical overview of a data set
- select the appropriate hypothesis test for an available data set and research question
Do I need any Previous Knowledge?
Participants of the course have to fulfill the following (very easy) qualifications:
- simple computer skills
- basic statistic knowledge (knowing what an arithmetic mean is, is enough...)
Note: Registration of GSLS doctoral researchers has priority to non-GSLS participants. Non-GSLS participants pay a service and workshop fee of EUR 50 by bank transfer.