Show how component loading helps define components.
- [Instructor] Let's have a look at how you can do…Principal Components Analysis, using the freeware…application R instead of Excel.…R has several ways of doing Principal Components Analysis.…The one that I'm partial to, and that I will demo here,…is called Principal, and it's found the in psych package.…That's psych, all lower case.…You will need to have installed that package.…The course called R for Excel Users,…describes how to install packages in R.…After you have opened R,…enter the command library (psych).…
After you have entered that statement,…R doesn't normally do anything except…provide another command prompt for you.…The library statement just makes the…psych package available to you.…You first need to read the data into the R workspace.…I have saved the data in comma separated values file,…in R's working directory.…We can read data into an R data frame, named PCAdata,…Principal Components Analysis data,…using the Read.csv command, just like this.…
The header equals upper case T argument…to the Read.csv function, is short for header equals true.…
In this course, Conrad Carlberg explains how to carry out cluster analysis and principal components analysis using Microsoft Excel, which tends to show more clearly what's going on in the analysis. Then he explains how to carry out the same analysis using R, the open-source statistical computing software, which is faster and richer in analysis options than Excel. Plus, he walks through how to merge the results of cluster analysis and factor analysis to help you break down a few underlying factors according to individuals' membership in just a few clusters.
- Reviewing the problems created by an overabundance of data
- Understanding the rationale for clustering and principal components analysis
- Using Excel to extract principal components
- Using R to extract principal components
- Using R for cluster analysis
- Using Excel for cluster analysis
- Setting up confusion tables in Excel
- Using cluster analysis and factor analysis in concert