Ill try this one as well. And I guess the one below is not going to work, because all my species have different names.
Thanks! #nms <- names(adat) nms <- c("Year", "Route", "Point", paste0("Sp", 1:250)) pattern <- "^Sp[[:digit:]]+$" whichCols <- grep(pattern, nms) whichNames <- nms[whichCols] reshape(..., varying = whichCols, times = whichNames, ...) On Sun, Oct 7, 2012 at 3:02 PM, arun <smartpink...@yahoo.com> wrote: > Hi, > I guess you are not talking about the melt() method. > dat1<-read.table(text=" > Year Route Point Sp1 Sp2 Sp3 > 2004 123 123-1 0 1 0 > 2004 123 123-2 0 1 1 > 2004 123 123-10 1 1 0 > ",header=TRUE,sep="",stringsAsFactors=FALSE) > > > #If all the Sp columns are located next to another as shown in your > example dataset, then you can also try this: > name1<-unlist(strsplit(paste(colnames(dat1)[4:6],collapse=" ")," ")) > reshape(dat1,varying=4:6,v.name > ="Sp-value",times=name1,timevar="Sp-name",idvar=c("Year","Route","Point"),direction="long") > > A.K. > > > > > > > ----- Original Message ----- > From: Rui Barradas <ruipbarra...@sapo.pt> > To: agoijman <agoij...@cnia.inta.gov.ar> > Cc: r-help@r-project.org > Sent: Sunday, October 7, 2012 2:32 PM > Subject: Re: [R] Presence/ absence data from matrix to single column > > Hello, > > I haven't been following this thread but apparently the answer to your > worries is no. > You can use a combination of names() and grep() to sort it out. > something like > > #nms <- names(adat) > nms <- c("Year", "Route", "Point", paste0("Sp", 1:250)) > > pattern <- "^Sp[[:digit:]]+$" > whichCols <- grep(pattern, nms) > whichNames <- nms[whichCols] > > reshape(..., varying = whichCols, times = whichNames, ...) > > > Hope this helps, > > Rui Barradas > Em 07-10-2012 15:35, agoijman escreveu: > > The problem with that, is that I just wrote an example of my database, > but I > > have around 250 species and more than 500 sites. In the approach you show > > me, it looks like I have to enter every species name and sites > individually, > > right? > > > > > > > > -- > > View this message in context: > http://r.789695.n4.nabble.com/Presence-absence-data-from-matrix-to-single-column-tp4645271p4645331.html > > Sent from the R help mailing list archive at Nabble.com. > > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- --- Lic. Andrea Paula Goijman Grupo Ecología y Gestión Ambiental de la Biodiversidad IRB - INTA Castelar, Argentina agoij...@cnia.inta.gov.ar <http://inta.gob.ar/personas/goijman.andrea/> http://inta.gob.ar/personas/goijman.andrea/ PhD Candidate Georgia Cooperative Fish and Wildlife Research Unit D.B. Warnell School of Forestry and Natural Resources University of Georgia Athens, GA 30602 USA Tel. +706.206.4805 andre...@uga.edu [[alternative HTML version deleted]]
______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.