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# Further Reading
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* A German extensive book about statistics (including a lot of hypotheses testing and some R examples): [Angewandte Statistik by Hedderich & Sachs](https://link.springer.com/book/10.1007/978-3-662-62294-0)
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* A general book about study design (also containing a longer section about statistics): [Experimental Design: From User Studies to Psychophysics](https://www.taylorfrancis.com/books/mono/10.1201/b11308/experimental-design-douglas-cunningham-christian-wallraven)
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* A general book about study design (also containing a longer section about statistics): [Experimental Design: From User Studies to Psychophysics by Cunningham & Wallraven](https://www.taylorfrancis.com/books/mono/10.1201/b11308/experimental-design-douglas-cunningham-christian-wallraven)
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* Data in R: https://moderndive.com/1-getting-started.html
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* Introduction to Linear Mixed Models (Alternative to ANOVAS etc.): https://ourcodingclub.github.io/tutorials/mixed-models/
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* Annotations in facets in plots: https://www.r-bloggers.com/2018/11/adding-different-annotation-to-each-facet-in-ggplot/ |
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