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--- r:factor_analysis [2017/12/04 08:03] – hkimscil
+++ r:factor_analysis [2022/05/05 14:47] (current) – hkimscil
@@ Line 1: / Line 1: @@
+see [[:factor analysis]]
 data file: {{:r:personality0.txt}}
+data file: {{efa.csv}}
+{{:r:food-texture.csv}}
-<code>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) </code>
-{{personality_corrplot.png?600}}