Labs: Dimension Reduction, Factor Analysis

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Presentation transcript:

Labs: Dimension Reduction, Factor Analysis Peter Fox and Greg Hughes Data Analytics – ITWS-4600/ITWS-6600 Group 3 Lab 3, March 23, 2017

Factor Analysis, DR lab3_fa1.R lab1_dr1.R # real life research example

Glass index <- 1:nrow(Glass) testindex <- sample(index, trunc(length(index)/3)) testset <- Glass[testindex,] trainset <- Glass[-testindex,] # you’ve used this for classification, now…. cor(Glass[,-10]) prcomp(Glass[,-10]) Factor Analysis? How many factors? Dimension reduction?

Swiss data(swiss) # fertility? cor(swiss) prcomp(swiss) # others? Factor Analysis? How many factors? Dimension reduction?

SPSS files On web page: html/DA personality.sav, and SAQ.sav (Band Personality.sav) require(psych); require(foreign); # Import data from SPSS data file.personality <- foreign::read.spss("personality.sav", to.data.frame = TRUE) Explore with psych:VSS routines Do factor analysis, looking for ~ 5 factors, use rotation