r:factor_analysis
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data file: personality0.txt
d = read.table("http://commres.net/wiki/_media/r/personality0.txt") head(d) str(d) summary(d) # For dataframes with many columns, # corrplot can be useful to get a sense of # the structure in the data (including larger # scale organization) library(corrplot) corrplot(cor(d), order = "hclust", tl.col='black', tl.cex=.75)
r/factor_analysis.1512344041.txt.gz · Last modified: 2017/12/04 08:04 by hkimscil