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README.md
Introduction to R
Disclaimer: Everything that is being shown and discussed during the workshop is generic and not subject-specific. Please bear with me if the examples that I choose tend to be about sequence data processing.
Schedule
The workshop will consist of 2 sessions: The first session is focused more on the first steps in R and getting familiar with how R understands data. The second session is about more advanced data handling and scripting. There is also the option to work together on your own data in break-out rooms. To accommodate all participant's availability, each session will be offered twice.
Morning (9-12) | Afternoon (13-16) | |
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Mon, 07.03.2022 | session 1 | break-out |
Tue, 08.03.2022 | session 2 | session 1 (+break-out) |
Wed, 09.03.2022 | break-out | |
Thu, 10.03.2022 | session 2 |
Sessions (preliminary)
Session 1:
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R command line and Rstudio
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R packages: CRAN, bioconductor, github
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R data and object types
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Data and object type conversions
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Navigating R objects
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Good coding practice
Session 2:
- Reading data into R
- Rearranging R objects
- Loops
- Rudimentary data exploration (plots)
- Saving R objects and writing data to file
- Writing functions
- Tidyverse