You should be careful that you really want to convert the underlying numeric
representation of a factor to your Rank variable ( see str(Vote) ). If you only
have three levels as shown it will work, but if you have more than one digit
you will probably need to use the as.is argument to the read.table function and
use string operations to get rid of the brackets before converting to numeric.
Factor variable can be a blessing, but seem more of a curse if you don't
understand them.
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Jeff Newmiller The ..... ..... Go Live...
DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go...
Live: OO#.. Dead: OO#.. Playing
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Sent from my phone. Please excuse my brevity.
Vladimir eremeev <wl2...@gmail.com> wrote:
>Yes, now I see.
>It's ridiculous that I haven't noticed this elementary error, which I
>know
>of for over 10 years. :)
>
>Now my problem, it's another question.
>
>Here is the code and data, as requested.
>
>Sample data, I've copied a part of text file:
>
> Charge Strobe [1]
> Charge FC [2]
> Charge SG [3]
>
> Carcass FC [1]
> Carcass Strobe [2]
> Carcass SG [3]
>
> Chart Strobe [1]
> Chart FC [2]
> Chart SG [3]
>
> Boy Strobe [1]
> Boy FC [2]
> Boy SG [3]
>
> Wires Strobe [1]
> Wires SG [2]
> Wires FC [3]
>
>Now I read them and make last column numeric:
>
>votes<-read.table("comparison.txt", col.names=c("Object", "Method",
>"Vote"))
> votes$Rank <- as.numeric(votes$Vote)
>
>Now I want to see for each method how many it has first, second and
>last places:
>
> for(m in levels(votes$Metod)) {
>print(c(m, hist(votes[with(votes, Method == m), "Rank"], breaks=0:3,
>plot=FALSE)$counts))
> }
>
>Oups... And now I've found my error, thanks to Opera's spell checker.
>I have missed the letter 'h' in Method.
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