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30.09.2023 08:08:29
Seminar: Analysis, visualisation and statistics using R for Environmental Scientists - Details
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General information

Course name Seminar: Analysis, visualisation and statistics using R for Environmental Scientists
Semester SoSe2023
Current number of participants 25
expected number of participants 20
Home institute Graduate School Science, Medicine and Technology (Oltech)
Courses type Seminar in category Teaching
First date Tuesday, 25.07.2023 10:00 - 15:00, Room: (W15 1-146 (ICBM building))
Type/Form Workshop
Lehrsprache englisch
ECTS points 1

Rooms and times

(W15 1-146 (ICBM building))
Tuesday, 25.07.2023 - Thursday, 27.07.2023, Tuesday, 26.09.2023 - Thursday, 28.09.2023 10:00 - 15:00

Fields of study


Course Description:
This will be an introduction course intended to give students and doctoral researchers an overview and introduction to R applied to analysing environmental data, with specific emphasis on chemical datasets. The course will begin with a brief introduction to the R environment and basic function and then include an overview of statistical analyses that are valuable in environmental datasets. The doctoral researchers and master students will be able to use R efficiently and they will be able to improve their scientific work with the possibilities of R.

Tentative schedule with course content:
Day and topic Brief description
1. Introduction to the R environment (R-Studio)
  • Projects handling
  • Package management
  • Data: Input / Output
  • Workspace
Installing and loading R packages, importing, manipulating, and exporting data.
2. Pre-Processing and Data composition.

Looking at the R data frame, cleaning up and compose data, dealing with missing data, data normalization, basic functions (mean and weighted mean, standard error, etc.)
3. Visualizing Data in R.
  • ggplot
  • plotly
  • shiny Scatter plots, bar plots, violin plots, etc. Interactive possibilities.
4. Data Reports and publishing with R markdown and Shiny.
Reporting with markdown and Shiny.
5. Basic Statistics and Statistical Analyses.
Calculating and visualizing a PCA, PCoA, NMDS, ANOVA, linear models.
6. Handling largescale server side data sets using the HPC-Cluster.
Analyze and correlate large chemical data (e.g FT-ICR-MS).

Target group: Graduate level course, with specific aim at doctoral researchers and new master’s students who want to use R to analyse their data.
Requirements: All levels are welcome. Students should be familiar with basic concepts of data analysis. Students and doctoral researchers will need to bring a laptop with the current version of R and RStudio installed. It would be nice if the participant have already started to get familiar with RStudio.

Course instructors / Lecturers:
André El-Ama
Priv.-Doz.Dr. Jan Freund
Dr. Hannelore Waska
Matthias Schröder
Ferdinand Esser

Time / Date / Format:
Seminar is organised block wise at the following dates: 25.07., 26.07., and 27.07.2023 and 26.09., 27.09. and 28.09.2023.
Meeting time is 5 hours with 1 hours break. 10:00 – 15:00
Room: W15 1-146 (ICBM building)

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.