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dfqs
2011 Apr 19
1
Subsetting a data frame by dropping correlated variables
...variable that I will keep int he data frame. Alternatively, I could also drop both the variables that are correlated with each other. Worry not! I am not deleting data, I am just finding a subset of the data that I can use to impute some missing observations.
I have tried the following statement
dfQuc <- dfQ[ , sapply(dfQ, function(x) cor(dfQ, use = "pairwise.complete.obs", method ="pearson")<0.8)]
but it gives me the following error:
Error in `[.data.frame`(dfQ, , sapply(dfQ, function(x) cor(dfQ, use = "pairwise.complete.obs", :
undefined columns selected...