Basic Statistical Analysis with R - HYBRID WORKSHOP

Start date: 7 November
Q&A sessions, in presence, 9:00 - 10:30 on:
11 November, 18 November & 2 December

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).
The workshop will start with several input sessions and exercises that you will watch and work on independently within one week - plan approx. 6 hours/week for this. The video recordings of the input sessions as well as the exercises will be made available on a platform. In a chat, the trainer can be contacted at any time if you have questions. After one week you will meet the Trainer in a live Q&A session to discuss the exercises and close the sessions. After that, new videos and excercises on the next topics will be available.

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.

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...)

To attend, please register here.

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.