Monash EBS Modules
Getting started
- 1. Installing R and RStudio Install R and RStudio on Windows, macOS, or Linux.
- 2. RStudio basics Learn how to use RStudio and install R packages.
- 3. R basics Start writing R code with basic functions and mathematical operations. Learn code syntax, chain functions together with the pipe (|>), and understand the different types of data that can exist together in a dataset.
- 4. Projects and paths Establish good practices for organising and accessing project files. Essential for when you share your work with others.
- 5. Strategies for troubleshooting in R With coding comes bugs and errors that need troubleshooting. In this chapter, you will learn how to decipher errors, find help for fixing them, and practice asking clear questions with minimally reproducible examples.
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Tidy data analysis
- 1. Reading data from files Reading and writing data from common local file formats
- 2. Tidy data restructuring How to restructure a messy dataset with tidyr into tidy data.
- 3. Data manipulation How to modify a dataset with dplyr to compute new columns or summaries, change rows or columns, and join datasets together.
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Statistical modelling
- 1. Linear regression Statistically summarise relationships between variables of a dataset with a linear regression model.
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Writing documents
- 1. Quarto Basics With Quarto, creating documents and reports becomes a breeze. In this chapter, you will learn how to set up Quarto, explore its key features, and start creating your own quarto documents with ease.
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