Online Resource

High Dimensional Statistics in R

During this workshop, participants will explore various examples of high-dimensional data commonly encountered in the biosciences. We will examine the unique challenges involved in analyzing such complex datasets and explore a range of statistical methods used to overcome them. Finally, attendees will gain practical experience by working directly with example data derived from real biological studies.

Keywords: R, RStudio, clustering, data summarisation, factor analysis, hierarchical cluster, high-dimensional dat, k-means, multivariate statist, principal component, regularised regressi, statistics

Target audience: Undergraduate student, Postgraduate student, Postgraduate researcher, Researcher, Clinician, Industry, Research Software Engineer, Bioinformatician, Open Research Specialist, Public sector

Resource type: Online Resource

Authors: O'Callaghan, A., Ewing, A., & Vallejos, C.


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