As others have said, your goal is unclear to us. However, one guess I have not
seen others make is if you are looking for a way to normalize within each
group, perhaps you should look at
?ave
which typically creates a vector just as long as your data vector and grouping
vector.
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Sent from my phone. Please excuse my brevity.
Karine Charlebois <karine.charleb...@outlook.com> wrote:
>Dear all, I'd like to get a percentage variable based on a group, but
>without creating a new data frame.
>For example:
>data(iris)
>
>iris$percent <-unlist(tapply(iris$Sepal.Length,iris$Species,function(x)
>x/sum(x, na.rm=TRUE)))
>
>This does not work, I should have only three standard values,
>respectively for setosa, versicolor, and virginica. How can I do this?
>
>MANY THANKS,
>
>Karine
>
> [[alternative HTML version deleted]]
>
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>and provide commented, minimal, self-contained, reproducible code.
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