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When carrying out linear regression there are a number of assumptions that are made. Often these assumptions are not verified, whereas in reality they are very important to check if they are met (and do something about it, if they aren’t!).
24 Feb 2023
Accounting for potential influential factors through randomisation and blocking is an essential part of good experimental design.
27 Aug 2023
Heatmaps are a data visualisation technique used to graphically represent multivariate data in an intuitive and effective way
20 Mar 2023
Learning all of these multivariate analysis techniques to apply to your data is all well and good, but what happens when you have a data set? What should you do? And in what order? This post gives some suggestions on general strategies for analysing your data and gives a worked example.
15 Nov 2023
A special example of a blocked experimental design, Latin Squares allows for additional factors to be explored.
13 Sep 2024
Assumptions of linear regression models are important to investigate; the Shapiro-Wilk test analyses normality.
16 Sep 2024