Hello,
I am working with a metabolomics dataset that contains a relatively large number of sample classes. everything loads and runs successfully, and the summary results load correctly. However, when I attempt to generate the PCA 2D Score Plot, it crashes unless in data editor i use 10 classes or fewer.
When I include more than ~10 classes i get the generic error loading site.
My questions are:
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Is there a maximum number of classes supported by the online PCA 2D score plot tool ? and If so, what is the recommended limit?
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Is there any mathematical reason behind this ? or is it generally ok to do PCA with more than 10 classes ?
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Is there any known workaround to visualize PCA with more than 10 classes (other than combining classes or exporting to R)?
Please note that I cannot share my dataset.
Thank you for your help!