Introduction to R statistical software & data visualisation
(coming soon – summer/ autumn 2020)
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A series of four introductory courses to the freely available R statistics software, now the most commonly used software for statistics in academia. An essential skill for researchers in quantitative subjects.
R101: An introduction to R
- Data & questions
- Descriptive statistics
- Numerical summaries
- Graphical displays
- Exploration vs confirmation
R102: Graphs & visualisation
- Exploration of a real dataset
- Basic graphs using the package ggplot2
- Bar plots, scatter plots, histograms, box plots, density plots
- Plot data on maps
- Motion charts
R103: Inferential statistics & statistical modelling
- Variables, probability, the Normal distribution
- Statistical tests and hypothesis testing
- Confidence intervals
- Student’s t-test, chi-squared test
R104: An introduction to R programming
- Variables and data types
- Functions
- Conditions, loops
- R programming
- Writing your own package
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