16 August 2019
Introductory Course to R with Applications from Data Analysis
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. Emphasis in this course will be on methods of graphically-based data analysis as R is particularly suitable for it.
Dr. Jan-Philip Kolb is Senior Researcher at the GESIS Department Survey Design and Methodology.
Alexander Murray-Watters is a research associate/doctoral candidate at GESIS, working as a statistics/machine learning expert.
- This course is for people that work with survey data and want to use R as an additional tool.
- The participants should have already attended an introductory event in statistics. Experience in dealing with other statistics packages is helpful, but not a requirement.
- prior experience with data analysis, basic statistics, and regression;
- as we will work with GESIS Panel data, it would be good to download the campus file of the GESIS Panel (https://www.gesis.org/en/gesis-panel/data/gesis-panel-campus-file/);
- basic familiarity with the use of a computer.
Course participants will need to bring a personal laptop in order to do the hands-on exercises. Ideally, the laptop already has R (https://cran.r-project.org/) and Rstudio installed (https://www.rstudio.com/). Both programs are free and open source.
It would be useful to have the following R-packages installed: lattice, ggplot2, tidyr, plyr, rvest, lme4, survey, readstata13, haven, xlsx, foreign, MASS, devtools, rio, visreg and reshape2.
Our workshop provides a hands-on introduction to R and lays the foundations for independently developing your skills in dealing with the programming language R. The participants can expect to receive an overview of the functional scope of R, master the import and export of data, and how to perform basic data analysis in R.
- Certificate of attendance issued upon completion.
- 4 ECTS points via the University of Mannheim for regular attendance and satisfactory work on daily assignments and for submitting a paper/report of about 5000 words to the lecturer(s) up to 4 weeks after the end of the summer school (EUR 50).
EUR 300: Student/PhD student rate.
EUR 450: Academic/non-profit rate.
The rates include the tuition fee, course materials, the academic program, access to library and IT facilities, coffee/tea, and a number of social activities.
10 DAAD scholarships are available via the Institute of Sociology and Social Psychology (ISS) of the University of Cologne.
5 scholarships for participation in one main course are available from the European Survey Research Association (ESRA).