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| | statsandr.com
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| | Make the the most correlated variables stand out via a correlogram. See also how to enhance a correlation plot to show significant correlations among variables
| | georgemdallas.wordpress.com
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| | (I recently wrote a new post that you may also find interesting called Principal Component Analysis 4 Philosophers) Having been in the social sciences for a couple of weeks it seems like a large amount of quantitative analysis relies on Principal Component Analysis (PCA). This is usually referred to in tandem with eigenvalues, eigenvectors and...
| | sportscidata.com
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| | Recently Dan Weaving and the research group at Leeds Beckett University put out a paper outlining how to perform a type of dimension reduction on training load data: principal component analysis (PCA). The benefit of such an analysis is it can reduce a large number of metrics into a more manageable dataset. This may uncover...
| | cgad.ski
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