OutliersZ
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1 2 3 4 5 6 7 8 9 10 11 12 | # Create data set with missing values
naDF <- data.frame(a = sample(c(1,2), 100, rep=TRUE),
b = sample(c(3,4), 100, rep=TRUE),
fNA = sample(c(100, 200, 300, 400, NA), 100, rep=TRUE))
# Created full data set
fillDF <- data.frame(a = c(1,2,1,2),
b = c(3,3,4,4),
fFull = c(100, 200, 300, 400))
# Fill in missing f's from naDF with values from fillDF
FilledInData <- FillIn(naDF, fillDF, Var1 = "fNA", Var2 = "fFull", KeyVar = c("a", "b"))
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