Module 1

RStudio IDE; R language; Data classification and summary statistics; R Markdown

In this module you will set up the working environment, connect to GitHub and pass the first big hurdle of importing data; you will learn how to do it in the proper way with a command in R. You will learn how to use RStudio IDE for R from its installation to RStudio customisation and files navigation. You will learn good habits and practice of workflow in an R project. Once you get comfortable with the RStudio working environment, you will move on to mastering the key features of R language and be introduced to fundamental statistical concepts. We will not stop there. You will be shown how to turn analyses into high quality documents and presentations with R Markdown. With the knowledge from this lesson you will be able to create reproducible reports straight from your R code allowing you to document your analysis and its results as an HTML, pdf, slideshow or Microsoft Word document.

What you will learn:

  • Basic use of R/RStudio console
  • Good habits for workflow
  • Inputting and importing different data types
  • R environment: record keeping
  • Data classification
  • Descriptive summary statistics
  • base R graphics
  • Authoring R Markdown Reports; Embedding R Code; LaTex to incorporate mathematical expressions
  • knitr to compile dynamic R code

© 2020 Tatjana Kecojevic