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How to interpret PCA

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Jin Woo PARK
Jin Woo PARK on 7 Sep 2020
Edited: the cyclist on 26 Dec 2020
Hi, I was trying a principal component analysis and I'd like to get some help
First, here is a table that shows measured concentrations of dopamine (DA), 3,4-hydroxyphenylacetic acid (DOPAC), and homovanillic acid (HVA) in mice urine after 2 hours of brain electric stimulus. The stimulus intensity were control in 3 mice, 100 μA in 4 mice, and 200 μA in 4 mice.
Using pca function, How can I interpret that which hormone is the most significant?
Also, I'd like to draw a scatter plot in different colors in each group (control, 100, 200)?
  3 Comments
Image Analyst
Image Analyst on 7 Sep 2020
You forgot to attach x2hours. Please do so
save('answers.mat', 'x2hours');
Also, I don't know what you plotted but I'm not sure I see any point in using PCA since your data looks like a shotgun blast - totally uncorrelated.

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Answers (1)

the cyclist
the cyclist on 7 Sep 2020
Edited: the cyclist on 26 Dec 2020
@Jin Woo:
If you search this forum for cyclist and pca, you will find a few question/answers where I explain a lot about the interpretation of PCA output. Here are a couple you might want to look at:

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