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Principal Component Analysis (PCA) clearly explained (2015)

StatQuest with Josh Starmer 1,027,747 10 years ago
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NOTE: On April 2, 2018 I updated this video with a new video that goes, step-by-step, through PCA and how it is performed. Check it out! https://youtu.be/FgakZw6K1QQ RNA-seq results often contain a PCA or MDS plot. This StatQuest explains how these graphs are generated, how to interpret them, and how to determine if the plot is informative or not. I've got example code (in R) for how to do PCA and extract the most important information from it on the StatQuest GitHub: https://github.com/StatQuest/pca_demo/blob/master/pca_demo.R For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 0:00 Awesome song and introduction 1:45 An introduction to dimensions 6:29 Why we can omit dimensions 8:53 Principal components in terms of variance and covariance!!! 12:47 Transforming samples with loading scores 17:49 Review of main ideas 19:11 Scree plots for diagnostics 19:39 Loadings and Eignvectors #statquest #PCA

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