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.1512343981.txt.gz · Last modified: 2017/12/04 08:03 by hkimscil