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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The art of living is more like wrestling than dancing.
(Marcus Aurelius)
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