Termine
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Workshop on R (Doctoral Candidates & Postdocs+)
21. - 22. July 2022
S73 (PC-Pool), NW II
Time: 9:00am - 5:00pm (21 July)
9:00am - 1:00pm (22 July)
Language:English Qualification Area: Empirical methods, software applications
Registration: 21 June until 18 July 2022
Deregistration: until 14 July 2022
for doctoral candidates via BayDOC: https://baydoc.uni-bayreuth.de
for Postdocs+ (= postdocs, habilitation candidates and junior professors (with and without Tenure Track) & Junior research group leaders between habilitation and junior professorship) via WiN-UBT Portal
Content
This is a hands-on workshop which includes exercises in which participants analyze data in R on the computer.
- Introduction to the R interface
- Importing data from Excel and data management
- Descriptive statistics: mean, median, quantile, standard deviations, correlations (Pearson, Spearman), scatter plots (and graph options), boxplots, histograms, bar charts
- R scripts, R packages, R help and literature
- Means and comparisons: Confidence intervals, the most common tests for comparisons (t-test, Mann-Whitney/Wilcoxon, Kruskal-Wallis, …)
- Checking preconditions: Tests for normal distribution, QQ plots, equality of variances (Levene)
- Principal component analysis
- Linear regression and analysis of variance: Introduction to linear regression with R, ANOVA, MANOVA, post hoc test, generalised linear regression (logistic, probit)
- Repeated Measurements (Longitudinal Studies) in order to ensure the smoothest possible introduction to R
To be able to independently apply the statistical methods covered in R.
Trainer
- Diploma in Mathematics (2001-2006)
- Doctorate at the Institute for Statistics of the LMU Munich (2006-2009)
- Academic councillor at the University of Bayreuth (2009-2014)
- Habilitation on machine learning at the University of Bayreuth (2012)
- Associate Editor of the journal Statistics & Probability Letters
- Author of numerous articles on statistics and machine learning, author of a textbook on stochastic theory
- Since 2019: Professor of Artificial Intelligence at the Technical University of Deggendorf
For reasons of respect and fairness towards all participants and the workshop leaders, participants who miss more than 10% of the workshop are considered not to be present. You will therefore not receive a certificate and you will not be able to use the workshop in question to unlock funds or acquire further qualifications.