R resources
Never done any coding before? Need to know how to download R and get started? These resources are for you.
First steps in R
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1. Downloading R and R studio
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A guide to downloading R and RStudio, the two pieces of software you will need for working in R.
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2. Opening R and RStudio for the first time
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Here we introduce the RStudio environment and begin to explore the ways in which we can interact with it.
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3. Beginning to interact with R
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How to enter your first instructions into the RStudio environment.
- 4. Objects and functions in R
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Here we introduce the key ideas of objects and functions in the R environment. We look at how to define objects and call functions.
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5. More about vectors
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This video continues on from "Objects and Functions" Parts 1 and 2. There is continued discussion of vectors in R, how to define them and different categories of vector.
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6. Matrices
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The first video defines a matrix is and how to create one in R. The second defines character matrices and spotting errors in the definition of a matrix.
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7. Creating Dataframes
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Introducing dataframes in R. How to make a dataframe from scratch in RStudio.
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8. Installing packages
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What a package is and how to install a package to RStudio
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9. Swirl
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Swirl is a package designed for learning R interactively in RStudio. This video shows you how to install and begin using it.
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10. Viewing built-in datasets
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How to access and begin to manipulate the datasets in the "datasets" package which is installed by default with RStudio.
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11. More objects
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A guide to some more types of objects in the R environment.
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12. Functions for getting to know a dataset
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A quick tour of a few useful functions which help you to get a feel for a dataset in RStudio.
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13. Importing data
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Video 1: A quick guide to preparing and saving data using an excel spreadsheet before importing it into RStudio.
Video 2: How to get data into RStudio in the form of a data frame once the data have been prepared in an excel spreadsheet and saved in as a CSV file.
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14. Where to go next...
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The last video in the "First Steps in R" series. This video is intended to show the viewer some resources for continuing their learning of R.
Further R resources
Use the links below to download resources to help you implement these statistical techniques in R:
Summarising categorical variables
Chi-squared test for association
Wilcoxon (matched pairs) signed-rank test
One-way (between groups) analysis of variance
Two-way (between groups) analysis of variance
Repeated measures analysis of variance
Multiple linear regression: Outliers, Durbin-Watson statistic and interactions in regression
Book a 1:1 appointment or workshop
Would you like to explore a maths or stats topic in greater depth? Why not book a 1:1 with an advisor or a workshop (current students only).