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Programme: MY591: Workshops in Applied Analysis Software
Course: R

R is an open-source language for statistical programming. It is one of the fastest growing programming languages and in addition to its core functionality now incorporates more than 13’000 user-contributed packages. Apart from being free and open-source, R provides better tools than traditional statistical software programs for machine learning, text analysis, Bayesian modelling and  working with social media.

In this workshop we will learn basic mathematical operations in R, data manipulation, plotting and some commonly used statistical models.


No prior experience with R is required.

The knowledge of quantitative methods at the level of MY452 (Applied Regression Analysis) is desirable.

It is recommended to bring your own laptop with pre-installed R ( and RStudio (

Event information:
No courses currently scheduled for your role.
Additional Resources:

If you would like to delve deeper into the topics that we will cover in the workshop, the following books can be helpful.


Statistics/methods perspective:

Dalgaard, P. (2008). Introductory Statistics with R. 2nd Ed. Springer.

Fox, J., & Weisberg, S. (2018). An R Companion to Applied Regression. 3rd Ed. Sage.


Programming perspective:

Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.

Wickham, H. (2014). Advanced R. Chapman & Hall/CRC.


Data science perspective:

Wickham, H., & Grolemund, G. (2016). R for Data Science. O’Reilly.

Training Provider:

LSE Training and Development System - version
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