RStudio IDE; R language; Data classification and summary statistics; Introduction to Visualization Principles
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