On understanding the axis of a PCA plot
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3.7 years ago
Aspire ▴ 360

I think that the axis of a PCA plot represents the distances between samples - the larger the difference, the larger the scale will be.

Does the location of the samples relative to zero matter?Is there a larger difference between two samples, located at 5 , -5 on one of the axis, than between another two samples located at 5, 15?

For example, can one say that samples 1 and 3 are more dissimilar than 2 and 4 in the plot below? enter image description here

pca • 981 views
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Don't think the value of PC can be directly translated into distance. What you want is the IBD / IBS calculation to assess the distance between samples.

On the other hand, if you are interested in population distance, then you can do something like this

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In the direction of PC2, 1&3 have a distance of 100 units, as do2&4. Yes it's linear. However, in the direction of PC1 we cannot say from this picture, and PC1 is a larger share of the raw data than PC2. Dont do distance in units you don't understand, check distance in the original dataset.

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