Hi, Daisy,
try
dat2 <- reshape( dat, varying = c( "species1", "species2", "species3"),
v.name = "presence", timevar = "species",
times = c( "species1", "species2", "species3"),
direction="long")
dat2[ rev( order( dat2$region)), ]
Hth -- Gerrit
On Thu, 24 Jan 2013, Daisy Englert Duursma wrote:
Hello,
I tried using reshape to rearrange my data to long format but I could
not get the output the table they way I wanted it. Anyway I came up
with a hack that does works, but I still would like to know if I can
do it with reshape.
Here is my code and a dummy set of data. It returns the data in the
format I would like it.
dat <- read.table(text="region state species1 species2 species3
sydney nsw 0 1 1
canberra act 1 1 0", header=T)
nonspecvars <- c("region","state")
dats <- split(dat, 1:nrow(dat))
dat2 <- lapply(dats,function(x){
datspec <- x[,-match(nonspecvars,names(x))]
specnames <- names(datspec)
presence <- unname(unlist(datspec))
x2 <- x[rep(1,length(specnames)),match(nonspecvars,names(x))]
x2$species <- specnames
x2$presence <- presence
return(x2)
})
do.call(rbind, dat2)
Cheers,
Daisy
--
Daisy Englert Duursma
Department of Biological Sciences
Room E8C156
Macquarie University, North Ryde, NSW 2109
Australia
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