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R for Reproducible Research

R is a widely used, open-source programming language valued across scientific fields for its strength in statistical analysis and data visualisation.

Single-Cell RNA-Seq Analysis Using R

Use the Seurat R platform to perform RNA-Seq analysis on single cell samples

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Longitudinal and Mixed Model Analysis using R

Learn how to use linear mixed models to analyse timecourse and other complex, non-independent datasets.

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Statistical Comparisons using R

A guide to basic hypothesis testing. Learn about correlation, categorical and continuous data, and comparisons between groups.

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Analysing Categorical Outcomes and Logistic Regression with R

Predict binary outcomes from multiple, continuous, input data

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Exploring and Predicting Using Linear Regression in R

Discover how to build a better understanding of the statistical relationships within your data

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Introduction to Programming: R for Reproducible Scientific Analysis

A novice programmers guide to the R software environment, a powerful, popular and free statistical and graphical programming language.

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R Shiny Essentials: From Data to Interactive Dashboards

Unlock the power of interactive data visualisation and dynamic web applications with R Shiny

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