Introduction to statistics in R course
Authors/Creators
Description
ELIXIR-EE training course on introduction to statistics in R. This course is designed to provide researchers in biomedical sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems. The course extensively covers materials from https://sib-swiss.github.io/Introduction-to-statistics-with-R/
Learning outcomes:
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Have experience applying basic statistics techniques in R:
- Learners will be able use R to run appropriate statistical tests and visualize these results.
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Summarize data with numerical and graphical summaries:
- Participants will gain proficiency in ggplot library and learn to summarize data.
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Understanding basic concepts in statistics: one/two/multiple-sample tests, hypothesis testing, multiple testing correction etc.:
- Trainees will be equipped with the knowledge about which statistical test to apply and when, how to do hypothesis testing in biological context and when to apply multiple testing.
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Learn about the relations in the data using correlation, regression:
- Learners will learn about relations between features in data.
- Understand how to deal with categorical data in statistics:
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- Learners will gain understanding about how to find statistical significant associations in categorical data.
- Learners will gain understanding about how to find statistical significant associations in categorical data.