Thank you for all the responses. Is there a way to do a complete data set from an object in R? I have a data set with more than 3000 columns.
The subsetting is ok but it could be dangerous if you are using other factors to do some analysis as you need to specify the levels for all your factors again. Best, 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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