Université de Liège, LABORATORY OF PHARMACEUTICAL ANALYTICAL CHEMISTRY
This MATLAB function creates a combined visualization of PCA results, showing the score plot of the first two principal components, the corresponding loadings plots, and a violin plot of score distributions. It helps quickly assess sample grouping, variable contributions, and data distribution in a single figure.
References:
Bro, R.; Smilde, A. K. (2014). Principal component analysis. Analytical Methods, 6, 2812-2831. https://doi.org/10.1039/C3AY41907J
Hoffmann, H. (2015). violin.m - Simple violin plot using MATLAB default kernel density estimation. INRES, University of Bonn.
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