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 

values) and some other columns called data1, data2, ... containing data 

each equipment (that is for each code).

But I don't have the data for all my devices. It means that some 'code' 

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 

my test (the if-test works but is not very elegant).

spec

code=4
spec$data1[spec$code==code]*(code %in%specmodules$Code) + 1*(!code %in% 

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 

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 

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 

takes only one logical value but you probably have vector of values. 

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 

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 

demonstrating what you did, what is the result and how the result 

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.

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