Hello,
I have a dataset which consists of 9 columns (variables) and 35 rows
(observations). I am doing a simple linear regression of one variable
on the other. There are some observations that are outliers and I would
like to remove them based on another variable (it's a unique, numeric
variable). How do you tell R to remove multiple rows (observations)
based on a variable value?
For example, I am trying to remove observations that have variable
Identity = 1, 2, 3:
Data2<-subset(Data1, Identity!=c(1,2,3))
This does not work. It works if I do it one at a time, but is very time
consuming. Is there a way to remove all desired observations at once?
Thanks!
Kenneth Takagi
[EMAIL PROTECTED]
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