HI,
You could use:
library(reshape)
res<-melt(dat,id.var=c("region","state"))
names(res)[3:4]<-c("species","presence")
res<-res[rev(order(res$region,res$state)),]
row.names(res)<- 1:nrow(res)
res
# region state species presence
#1 sydney nsw species3 1
#2 sydney nsw species2 1
#3 sydney nsw species1 0
#4 canberra act species3 0
#5 canberra act species2 1
#6 canberra act species1 1
A.K.
----- Original Message -----
From: Daisy Englert Duursma <daisy.duur...@gmail.com>
To: "r-help@R-project.org" <r-help@r-project.org>
Cc:
Sent: Thursday, January 24, 2013 5:06 AM
Subject: [R] long format with reshape
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
______________________________________________
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.
