Building Confidence Intervals with R
The purpose is to try to help you to analyze the data you are collecting (or will collect) for your scientific research. Statistics can be considered as mathematical tools to help you reaching decisions about the meaning of your results, but in fact they can never be independent of your research question, that is, of your scientific model. 
We will be using R because it’s free, it’s powerful, and it’s used by a growing community of researchers. Some fancy statistics tools may even be only available with R (like mixed generalized linear model and Bayesian Higher Density Intervals).
You should download and install R for free here:
https://cran.rstudio.com/
Then you can install RStudio here (RStudio is an additional interface that makes the use of R easier).
https://www.rstudio.com/products/rstudio/download/
There are many R tutorials on the web. You may want to start here since we’ll use RStudio:
https://www.rstudio.com/resources/training/online-learning/#R
You will be redirected and you may Try R
You should be able to understand the basic syntax of R (see also below for French speakers). I don’t expect you to know how “to do statistics” in R before the class.
But for this course, I expect that you have some familiarity with basic tests like t-tests or ANOVA – well, I don’t know how you could have none if you ever read a few scientific papers.
You should also be aware that NHST (p-values) are not a valid option anymore. Please consult GDRvision2016_ConfidencIntervalsBasics.pdf available at https://gdrvision2016.sciencesconf.org/, which should look familiar to those who followed the 2015 statistical workshop of the GDR vision.
For those not familiar with the sample theory and the maths involved in statistics, and French speaking, you may benefit from Denis Poinsot pedagogical effort, his pdf is freely available. Most of it is correct I think (not all – never expect any statistical reference to be fully correct!), and don’t follow him on bootstrap and non-parametric tests.
https://perso.univ-rennes1.fr/denis.poinsot/Statistiques_%20pour_statophobes/
For those new to R, please consult and practice Je n'y connais rien mais je programme en R.pdf		
and the chapters 1, 2, 3 and 6 of his R pour les statophobes.pdf.

For a more advanced tutorial in French, https://cran.r-project.org/doc/contrib/Barnier-intro_R.pdf
or in English, https://cran.r-project.org/doc/contrib/usingR.pdf

Please bring your laptop with a recent, working version of R and R studio. You’ll need a working wifi connection (eduroam should work, but you’ll also be able to connect with the email address that you provided for GDR registration to the local wifi network of the faculté de Médecine) to upload R packages. R and R studio are supposed to be platform independent, but I cannot guarantee that all packages will work properly on mac (so if you have the choice, bring a PC). Also, make sure to have a fully charge battery (min 3 hours autonomy) because I cannot guarantee power plugs for everybody.