On Jul 5, 2012, at 1:34 PM, David Winsemius wrote:
On Jul 5, 2012, at 1:25 PM, Eiko Fried wrote:
Hello,
I have many hundred variables in my longitudinal dataset and lots of
missings. In order to plot data I need to remove missings.
If I do
data <- na.omit(data)
that will reduce my dataset to 2% of its original size ;)
So I only need to listwise delete missings on 3 variables (the ones
I am
plotting).
data$variable1 <-na.omit(data$variable1)
?complete.cases # returns a logical vector
data[ complete.cases( data[ , c("var1", "var2", "var3"]) , ]
data[ complete.cases( data[ , c("var1", "var2", "var3") ] ) , ]
Er, need to add a right - paren -----here -----------^
--
David Winsemius, MD
West Hartford, CT
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