From the course: R Essential Training Part 2: Modeling Data
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Conducting a principal component analysis
From the course: R Essential Training Part 2: Modeling Data
Conducting a principal component analysis
- [Instructor] correlations are great for looking at how one variable here is connected with one variable here. But sometimes you want to look at the associations or connections of an entire group of variables. For example, you may have several questions on a survey that all it says more or less the same thing. But you want too be able to average them or you want too be able to see how they group with one another. To do that, you'll want to do something like, principal component analysis or a factor analysis. Two very closely related procedures, and I'm going to show you how to run through this in R. To do this, I'm going to come and load a few new packages. One is called GPA rotations that stands for grading projection algorithm rotation and another one is psych. I've used this before but the psych package which is for psychometrics and personality research has some incredibly useful functions for working these kinds…
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