Odp: nice way to find or not a value (problem with numeric(0))
Hello Petr, In fact spec is data.frame with a column called code (containing numerical values) and some other columns called data1, data2, ... containing data for each equipment (that is for each code). But I don't have the data for all my devices. It means that some 'code' are not in spec$Code. In that case I want to assign a default value to the data. for example : spec$Code spec$data1 4 12.5 8 20.2 Then, with code=4 spec$data1[spec$Code==code]*(code %in%specmodules$Code) + 1*(!code %in% specmodules$Code) gives 12.5 But with code=654, I get numeric(0) instead of 1 because this value is not in spec$Code and returns numeric(0). I hope it is clearer (is it ?) and that you could find a nice way to write my test (the if-test works but is not very elegant). Thanks in adance for you help, Ptit Bleu.
Petr Pikal wrote:
Hi r-help-bounces at r-project.org napsal dne 04.03.2009 09:11:06:
Hello, I have a data.frame called spec containing data about samples. But I
don't
have these data for all my samples. So if I have data (that is code of the sample is in spec$Code), I would
like
to assign data1 to the variable m. If I don't have this data, I would like to assign 1 to m. I tried this : m<-spec$data1[spec$Code==code]*(code %in%specmodules$Code) + 1*(!code
%in%
specmodules$Code) It works when I have the data but if it is not the case I get numeric(0) instead of 1. I finally use the following command. It works but I'm sure there is a
more
elegant way. if (code %in%spec$Code) m<-spec$data1[spec$Code==code] else m<-1
It is a bit cryptic what do you want. Above version shall not work as it takes only one logical value but you probably have vector of values. (We do not know code, spec$Code or any other data you have). when I try your first construction with some values I have I get sensible results so without trying to find out how your data really look like I suggest you to inspect it more closely and/or provide some working example demonstrating what you did, what is the result and how the result shall look like. zdrz$sklon*zdrz$otac %in% c(.6,1.2,2)+1*!(zdrz$otac %in% c(.6,1.2,2)) [1] 110 80 50 50 10 1 120 80 50 20 zdrz$otac[5]<-NA zdrz$sklon*zdrz$otac %in% c(.6,1.2,2)+1*!(zdrz$otac %in% c(.6,1.2,2)) [1] 110 80 50 50 1 1 120 80 50 20 zdrz$sklon[4]<-Inf zdrz$sklon*zdrz$otac %in% c(.6,1.2,2)+1*!(zdrz$otac %in% c(.6,1.2,2)) [1] 110 80 50 Inf 1 1 120 80 50 20 zdrz$sklon[4]<-NA zdrz$sklon*zdrz$otac %in% c(.6,1.2,2)+1*!(zdrz$otac %in% c(.6,1.2,2)) [1] 110 80 50 NA 1 1 120 80 50 20 Regards Petr
Is there a way to avoid an if-test ? Thanks for your help, Have a good day, Ptit Bleu. -- View this message in context:
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