Before using ddply, try adding an id variable to uniquely identify each
record (this is a good data integrity practice anyway). Then you can simply
create the new data frame by using all the ids that aren't in your
'To_remove' subset.
Here's the code for your example:
library(plyr)
library(outlie
Hello all,
Let me first say that this isn't a question about outliers. I am using
the outlier function from the outliers package but I am using it only
because it is a convenient wrapper to determine values that have the
largest difference between itself and the sample mean. Where I am
running int
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