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1. Philosophical Foundations
2. Computer stuff
3. Conducting Experiments
4. Analysing Experimental Data
4.1. Introduction to Programming with R
4.2. Basic Visualisation
4.3. Descriptive Statistics
4.4. The Generalized Linear Model
4.5. Multivariate data
5. Reporting the Results of Scientific Experiments
6. Advanced Methods
7. help
8. How to contribute
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4. Analysing Experimental Data
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4. Analysing Experimental Data
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Subchapters
4.1. Introduction to Programming with R
4.1.1. Why R?
4.1.2. Gathering your tools
4.1.3. Some first, wobbly steps
4.1.4. Handling data
4.1.5. Getting data into and out of R
4.1.6. Closing words
4.1.7. References
4.2. Basic Visualisation
4.3. Descriptive Statistics
4.4. The Generalized Linear Model
4.4.1. t-test
4.4.2. correlation test
4.5. Multivariate data
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