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Principal component analysis in R | PCA for genetic diversity assessment using varimax rotation |

This video clearly explains the procedure involved in principal component analysis especially when we are using pca for genetic diversity assessment in plant breeding. Here you will understand why we need to do pca, how pca reduces dimensions, how to use rotation and how to interpret the graphs and results ?. In the core of this video you will find the syntax or the code which you need to run pca in R along with explanation for each and every argument explaining its importance with that i do show a lot of customisation options you need to follow in R to get beautiful, aesthetically appealing plots especially rotated component plot. Reference Thesis ~ https://krishikosh.egranth.ac.in/disp... For those who are interested in theory check out the articles below ~ PCA in R analyticsvidhya https://www.analyticsvidhya.com/blog/... ~ PCA step by step https://builtin.com/data-science/step... ~ PCA one stop shop https://towardsdatascience.com/a-one-... ~ Learn PCA in 3d https://setosa.io/ev/principal-compon... In order to know about rotated component matrix please check the below article ~ Rotated component cross validated https://stats.stackexchange.com/quest... In order to know about the different functions of R ~ FactoMineR http://factominer.free.fr/factomethod... ~ prcomp vs princomp https://stats.stackexchange.com/quest.... ~Add info https://www.gastonsanchez.com/visuall... 00:00 Intro 05:46 Data structure in excel sheet 06:31 Beginner tips 07:11 Importing data 08:42 Scaling 10:36 Adjusting options 11:46 Visualisation packages 13:25 PCA-princomp 14:52 PCA-prcomp 20:46 3d plots 22:55 PCA-FactoMineR 34:04 Judging number of components 38:07 Elbow method 39:21 Rotated components Script https://docs.google.com/document/d/1W... Dataset https://docs.google.com/spreadsheets/...

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