Thanks for the answers! The any function was basically exactly what I was
looking for.
(previously I used something with rowSums() which is probably not the most
efficient way.)
Thanks so much,
Werner
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One solution -
let's say our data.frame is "xx"
Then:
xx <- matrix(rnorm(9), 3,3)
apply(xx < 0, 1, any)
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On 08/06/2010 08:03 AM, Werner W. wrote:
Hi,
I know ways to do this but they all seem awkward and I somehow believe that
there is a convenient shortcut.
Since you don't show us what you tried, I don't know what you consider
'awkward'.
If I have a data.frame with many columns, how can I re
Hi,
I know ways to do this but they all seem awkward and I somehow believe that
there is a convenient shortcut.
If I have a data.frame with many columns, how can I request all rows for which
at least one column satisfy an expression?
For instance, all rows where at least one column is negativ
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