Dear Kristina,
Use ifelse(). Note that you must use '==' to test for equality.
'=' is
an assignment.
Freqg$condition <- with(freqg, ifelse(mat==1 & flank==1, 1, ifelse(mat
== 2 & flank == 1, 2, NA)))
HTH,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
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Research Institute for Nature and Forest
team Biometrics & Quality Assurance
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tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
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say what the experiment died of.
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> -----Oorspronkelijk bericht-----
> Van: r-help-bounces at r-project.org
> [mailto:r-help-bounces at r-project.org] Namens Kristina Schmitz
> Verzonden: donderdag 27 mei 2010 11:33
> Aan: r-help at r-project.org
> Onderwerp: [R] adding column to data frame conditionally
>
> Dear all and thanks in advance for helping me with a rather
> stupid question:
> I imported a data set ("freqg") into R consisting of 14
> variables. Now a want to compute a variable and add it in an
> additional column to my data frame. The value of this new
> variable ("condition") depends on the values of two other
> variables ("mat" and "flank") already included in the
data frame.
> For example:
> if mat=1 and flank=1 -> condition=1
> if mat=2 and flank=1 -> condition=2
> ...
>
> What I got is this code, which doesn't really work (it
> results in a new column called "condition" which takes only
> the value "TRUE"):
>
> freqg<-transform(freqg,condition=(mat=1)&(flank=1))
>
> Thanks in advance and kind regards!
>
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> and provide commented, minimal, self-contained, reproducible code.
>
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