Hello everybody,

I need to know which samples (S1-S6) contain a value that is bigger than the
median + five standard deviations of the column he is in. This is just an
example. Command should be applied to a data frame wich is a lot bigger
(over 100 columns). Any solutions? Thank you very much for your help!!!

> s
    Samples     A     B    C    E
1             S1   1     2     3     7
2             S2   4    NA   6     6
3             S3   7     8     9    NA
4             S4   4     5    NA   6
5             S5   2     5     6     7
6             S6   2     3     4     5

This loop works fine for a column without NA values. However it doesn't work
for the other columns. I should have a loop that I could apply to all
columns ideally in "one command".

o <- data.frame();
for (i in 1:nrow(s))
{
       dd <- s[i,];
       if (dd$A >= median(s$A, na.rm=TRUE) + 5 * sd(s$A, na.rm=TRUE)) o <-
rbind(o,dd)

}

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