**Up in the R...** helps you **perform statistical tests **and** create meaningful plots in R**. Here you will find plenty of info, examples, tips, as well as the matching R codes which you can copy-pasting directly into R/Rstudio.

This section is NOT meant to replace a proper course in statistics and you should not expect to systematically find all the reasons why tests may be used in specific cases or not. If you do not find what you want, you may check the section Useful links and tools and Useful books and docs at the bottom of each and every page on this website.

If you do not have any experience with R or if you still need to understand the basics of this language, you can start with R1 - introduction to R. Otherwise, move on directly to the next two modules.

In this **introduction to R**, you will learn how to use the console and scripts, create objects, vectors, dataframes, import data into R, and create basic graphs and charts.

Start easy with our **basic module**: learn about descriptive stats, one-sample tests, two-sample tests and ANalysis Of Variance (ANOVA) and learn how to run those tests in R.

There exist several packages for R which are dedicated to **data visualization**. **ggplot2** is one of them. In this chapter, we will learn how to build attractive charts using ggplot2.

**dplyr** is a package that helps with **data transformation/manipulation**. In this chapter, we will learn how to use its functions to simplify our work with data frames.

Here is an introduction to **data management** with **GitHub** and **RStudio**. You will learn to safely manage and share your code with collaborators, and keep track of changes.