# Introduction to Reproducible Research with R This short course is an introduction to notebooks in [R][1] and [RStudio][2]. Throughout the course we use an example data set of brain volumes recorded for neuro-typical participants. Data set also contains head size, gender and age. Participants are required to take the introduction to R on [datacamp][3] prior to the course. Exercise, datasets, and an additional homework can be found on our [local shiny server][4]. ## Day 1 Introduction to Reproducible Research Introduction to RStudio and Notebooks ## Day 2 How to do descriptive statistics with R Sample size and distributions Plotting with ggplot ## Day 3 How to do inferential statistics with R Notebook cleaning ## Reading List [Advanced R][5] by Hadley Wickham [Manifesto for reproducible research][6] [Book on ggplot2][7] by Hadley Wickham A free [text][8] on intro stats in the British Medical Journal The Points of Significnce Series in [Nature Methods][9] [1]: https://cran.r-project.org/ [2]: https://www.rstudio.com/ "Rstudio" [3]: https://www.datacamp.com [4]: http://s-quest.bihealth.org:3838/edu/ [5]: http://adv-r.had.co.nz/ [6]: https://doi:10.1038/s41562-016-0021 [7]: https://github.com/hadley/ggplot2-book [8]: http://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one [9]: https://www.nature.com/collections/qghhqm/pointsofsignificance