Many thanks.
Much easier than my solution
B.
Birgitle wrote:
>
> I just started to write tiny functions and therefore I appologise in
> advance if I am asking stupid question.
>
> I wrote a tiny function to give me back from the original matrix, a matrix
> showing only the values smaller -0.8 and bigger 0.8.
>
> y<-c(0.1,0.2,0.3,-0.8,-0.4,0.9)
> x<-c(0.5,0.3,0.9,-0.9,-0.7,0.3)
>
> XY<-rbind(x,y)
>
> extract.values<-function (x)
> {
> if(x>=0.8|x<=-0.8)x
> else("low corr.")
>
> }
>
> works:
>
> Test<-sapply(XY,extract.values,simplify=FALSE)
>
> but now I try to solve the problem of having NA in the matrix.
> I tried like that:
>
> extract.values<-function (x)
> {
> if(x>=0.8|x<=-0.8|x==NA)x
> else("low corr.")
>
> }
>
> woks not:
>
> x<-c(0.5,0.3,0.9,-0.9,-0.7,0.3)
> y<-c(0.1,0.2,NA,-0.8,-0.4,0.9)
>
> XY<-rbind(x,y)
>
> Testi<-sapply(XY,extract.values,simplify=FALSE)
>
> Fehler in if (x >= 0.8 | x <= -0.8 | x == NA) x else ("low corr.") :
> Fehlender Wert, wo TRUE/FALSE nötig ist
>
> Error in if (x >= 0.8 | x <= -0.8 | x == NA) x else ("low corr.") :
> Missing value, where TRUE/FALSE is needed
>
> How can I do this right.
>
> Thanks for help
>
> B.
>
-----
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(Marcus Aurelius)
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