Statistics Module 1: Introduction to basic statistics and R

Statistics Module 1: Introduction to basic statistics and R

  • Start: Oct 1, 2019
  • End: Oct 2, 2019
  • Speaker: Dr. Fränzi Korner-Nievergelt
  • Oikostat
  • Location: MPI Seewiesen
  • Room: Seminar Room House 4
  • Host: IMPRS for Organismal Biology
  • Contact: mhieber@orn.mpg.de
Statistics Module 1: Introduction to basic statistics and R
Day 1: Introduction to R (working in the batch modus, programming language R, reading and displaying data, writing functions, simulating data) + Basic theory (Probability distributions, Central limit theorem, Bayes theorem, Bootstrapping, Inference from data using frequentist and Bayesian methods, classical frequentist tests (t-, F-, Chi-, Wilcoxon-test)) Day 2: Computation techniques (Monte Carlo simulation, Approximations), Application to own or simulated data: Comparison of two means using frequentist and Bayesian methods, Discussion
Prerequisite for participation:

- basics in computer knowledge (Word, Excel)
- basics in mathematics

Course material:
Korner-Nievergelt, F., T. Roth, S. Von Felten, J. Guélat, B. Almasi, and P. Korner-Nievergelt. 2015. Bayesian Data Analysis in Ecolog Using Linear Models with R, BUGS, and Stan. Elsevier, New York.

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