Thank you very much Gustavo. That works.
Manuel On 24/04/2011 08:30 a.m., Gustavo Carvalho wrote: > pa2<- subset(pa, influencia=="AP") > pa2$influencia<- factor(pa2$influencia) > levels(pa2$influencia) > > On Sun, Apr 24, 2011 at 11:24 AM, Manuel SpÃnola<mspinol...@gmail.com> > wrote: >> Thank you very much for your response, Christian, Roman, and Sarah. >> >> Sarah, >> >> I am trying your suggestion but I cannot see the levels: >> >> > pa2 = factor(subset(pa, influencia=="AP")$influencia) >> > levels(pa2$influencia) >> Error in pa2$influencia : $ operator is invalid for atomic vectors >> >> Best, >> >> Manuel >> >> >> >> On 24/04/2011 07:51 a.m., Sarah Goslee wrote: >>> By default, read.csv() turns character variables into factors, using all the >>> unique values as the levels. >>> >>> subset() retains those levels by default, as they are a vital element of the >>> data. If you are studying some attribute of men and women, say height, >>> even if you are only looking at the heights for women it's important to >>> remember >>> that men still exist. >>> >>> If you don't want influencia to be a factor, you can change that in the >>> import >>> stringsAsFactors=FALSE. >>> >>> If you do want influencia to be a factor, but want the unused levels to be >>> removed, you can use factor() to do that. >>> >>>> testdata<- data.frame(group=c("A", "B", "C", "A", "B", "C"), value=1:6) >>>> testdata >>> group value >>> 1 A 1 >>> 2 B 2 >>> 3 C 3 >>> 4 A 4 >>> 5 B 5 >>> 6 C 6 >>>> str(testdata) >>> 'data.frame': 6 obs. of 2 variables: >>> $ group: Factor w/ 3 levels "A","B","C": 1 2 3 1 2 3 >>> $ value: int 1 2 3 4 5 6 >>>> subset(testdata, group=="A") >>> group value >>> 1 A 1 >>> 4 A 4 >>>> subset(testdata, group=="A")$group >>> [1] A A >>> Levels: A B C >>>> ?subset >>>> factor(subset(testdata, group=="A")$group) >>> [1] A A >>> Levels: A >>> >>> Sarah >>> >>> On Sun, Apr 24, 2011 at 9:04 AM, Manuel SpÃnola<mspinol...@gmail.com> >>> wrote: >>>> Dear list members, >>>> >>>> I have a question regarding too subsetting a data set in R. >>>> >>>> I created an object for my data: >>>> >>>> >pa = read.csv("espec_indic.csv", header = T, sep=",", check.names = F) >>>> >>>> > levels(pa$influencia) >>>> [1] "AID" "AII" "AP" >>>> >>>> The object has 3 levels for influencia (AP, AID, AII) >>>> >>>> Now I subset only observations with influencia = "AID" >>>> >>>> >pa2 = subset(pa, influencia=="AID") >>>> >>>> but if I ask for the levels of influencia still show me the 3 levels, >>>> AP, AID, AII. >>>> >>>> > levels(pa2$influencia) >>>> [1] "AID" "AII" "AP" >>>> >>>> Why is that? >>>> >>>> I was thinking that I was creating a new data frame with only AID as a >>>> level for influencia. >>>> >>>> How can I make a complete new object with only the observations for >>>> "AID" and that the only level for influencia is indeed "AID"? >>>> >>>> Best, >>>> >>>> Manuel >>>> >>>> >> >> -- >> *Manuel SpÃnola, Ph.D.* >> Instituto Internacional en Conservación y Manejo de Vida Silvestre >> Universidad Nacional >> Apartado 1350-3000 >> Heredia >> COSTA RICA >> mspin...@una.ac.cr >> mspinol...@gmail.com >> Teléfono: (506) 2277-3598 >> Fax: (506) 2237-7036 >> Personal website: Lobito de rÃo >> <https://sites.google.com/site/lobitoderio/> >> Institutional website: ICOMVIS<http://www.icomvis.una.ac.cr/> >> >> [[alternative HTML version deleted]] >> >> >> _______________________________________________ >> R-sig-ecology mailing list >> R-sig-ecology@r-project.org >> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology >> >> -- *Manuel SpÃnola, Ph.D.* Instituto Internacional en Conservación y Manejo de Vida Silvestre Universidad Nacional Apartado 1350-3000 Heredia COSTA RICA mspin...@una.ac.cr mspinol...@gmail.com Teléfono: (506) 2277-3598 Fax: (506) 2237-7036 Personal website: Lobito de rÃo <https://sites.google.com/site/lobitoderio/> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/> [[alternative HTML version deleted]]
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