Timeline for How to interpret PCA loadings?
Current License: CC BY-SA 3.0
13 events
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| Oct 26, 2020 at 12:12 | answer | added | Andrea Grianti | timeline score: 1 | |
| Apr 22, 2018 at 17:28 | comment | added | figs_and_nuts | @amoeba - Do you know how hard it is to come across such a simple explanation of loadings. Somehow, everywhere it is a mouthful of jargon bile all over me before i decide to move on to next explanation on google. Thank you! | |
| Dec 6, 2014 at 22:57 | history | edited | amoeba | CC BY-SA 3.0 |
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| Dec 6, 2014 at 14:39 | history | edited | amoeba | CC BY-SA 3.0 |
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| Dec 6, 2014 at 14:36 | comment | added | amoeba | Somehow @ttnphns's answer goes into a lot of mathematical details, but I think the original question was really straightforward: why does the loadings vector for PC1 of (0.5, 0.5, 0.5, 0.5) mean that the first component is "proportional to average score"? Well, the answer is that the loadings are [proportional to the] coefficients in linear combination of original variables that makes up PC1. So your first PC1 is the sum of the all four variables times 0.5. Which means it's proportional to the average of the four variables. And similar with PC2. I think this answers the original question. | |
| Apr 4, 2014 at 8:47 | vote | accept | priyanka | ||
| Apr 4, 2014 at 8:28 | answer | added | ttnphns | timeline score: 16 | |
| Apr 4, 2014 at 6:59 | history | edited | ttnphns | CC BY-SA 3.0 |
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| Apr 4, 2014 at 6:53 | history | edited | ttnphns | CC BY-SA 3.0 |
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| Apr 4, 2014 at 6:46 | review | First posts | |||
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| Apr 4, 2014 at 6:40 | history | edited | priyanka |
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| Apr 4, 2014 at 6:35 | history | edited | priyanka | CC BY-SA 3.0 |
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| Apr 4, 2014 at 6:29 | history | asked | priyanka | CC BY-SA 3.0 |