R Statistical Analysis

R Statistical Analysis focuses on using R to perform, interpret, and report statistical analyses for academic and research projects. Explore practical resources covering data preparation, descriptive statistics, hypothesis testing, regression, ANOVA, correlations, and other quantitative methods. Whether you are analysing a dissertation dataset, survey responses, clinical research data, or experimental results, these resources can help you work through your analysis and understand what your findings actually mean.

If R analysis is becoming difficult to manage on your own, explore our Statistical Analysis in R, Clinical Trial Data Analysis Using R, and How to Run a Regression in R resources for targeted guidance.