| Kommentar |
In this seminar students will learn programming in the statistical language R. In contrast to other statisti-cal software packages such as SPSS or Stata, the R software environment is free and open source. R can be used for data analyses and visualization. The course is intended to give students an understanding of cleaning and preparing survey data for analyses, exploring survey data with graphics and summaries, and conducting linear regression analyses using R. The course will use a combination of short lectures, programming demonstrations, and assignments to teach programming skills. Students will become fa-miliar with R and learn how to use R for their own data analyses projects. For the assignments, we will use the publicly available Religious Fundamentalism and Radicalization Survey dataset to explore predic-tors of and associations between religiosity, fundamentalism, and prejudice. |
| Literatur |
Literature Grolemund, G. and Wickham, H. (2019). R for Data Science. https://r4ds.had.co.nz/ Mahoney, M. (2019). Introduction to Data Exploration and Analysis with R. https://bookdown.org/mikemahoney218/IDEAR/ Peng, R.D. (2020). R Programming for Data Science. https://bookdown.org/rdpeng/rprogdatascience/ |
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