Basic statistics in R, part II

This training builds further on the Basic statistics in R training, showing you how to do statistical analyses in R. Where the Basic statistics in R training is an introduction to the use of R and RStudio and stops at very basic analyses (t-tests and non-parametric equivalents), this training gives you a full overview of statistical analyses in R including regression, ANOVA... Emphasis will be placed on practical applications. To this end, theory will be complemented with hands-on exercises in R, a free software environment for statistical computing and graphics. Topics include distributions, plots, confidence intervals, hypothesis testing...

Target audience: Life Science Researchers, PhD students, beginner bioinformaticians, post-docs

Authors: Veronique Storme

Remote created date: 2016-04-22

Remote updated date: 2017-10-09

Basic statistics in R, part II https://tess.elixir-europe.org/materials/basic-statistics-in-r-part-ii This training builds further on the Basic statistics in R training, showing you how to do statistical analyses in R. Where the Basic statistics in R training is an introduction to the use of R and RStudio and stops at very basic analyses (t-tests and non-parametric equivalents), this training gives you a full overview of statistical analyses in R including regression, ANOVA... Emphasis will be placed on practical applications. To this end, theory will be complemented with hands-on exercises in R, a free software environment for statistical computing and graphics. Topics include distributions, plots, confidence intervals, hypothesis testing... Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22 2017-10-09