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--- r:factor_analysis [2017/12/04 08:03] – hkimscil
+++ r:factor_analysis [2017/12/04 08:04] – hkimscil
@@ Line 4: / Line 4: @@
 head(d)
-#str(d)
+str(d)
-#summary(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)
+# 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}}