November 20, 2017
Quantitative Geneticist in Animal Science
2005 SAS + Python
2009 SAS + Python + R
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset.
It's often used to make data easy to explore and visualize.
…And if you're navigating a dense information jungle, coming across a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a clearing in the jungle.
David McCandless - data journalist and information designer
pc <- princomp(cor(var1), cor=TRUE, scores=TRUE)