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Workshop on R (Doctoral Candidates & Postdocs+)

02.-03. February 2023
U.17.2 (GW1)

Time: 09:00 am - 05:00 pm (02. February)
           09:00 am - 01:00 pm (03. February)

Trainer: Prof. Dr. Robert Hable
Language: English
Qualification Area: Empirical methods, software applications​​
Registration: 02 January until 26 January 2023
Deregistration: until 26 January 2023

for members of the University of Bayreuth Graduate School via BayDOC
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

Description
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

Qualification Goal
By the end of this workshop, participants will 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

*Creditability within the kick-off seminar

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.

Verantwortlich für die Redaktion: Dipl.-Ing. Iris Hetz

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