# 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