HI,
Saw ur post in Nabble.
occ.data<-read.table(text="
Año Punto Especie Pres Ruta_com Point Site Rep guild
1 2012 30 TYSA 1 108 30 1086 5 OTHER
2 2012 26 VACH 1 108 26 1086 1 OTHER
3 2012 27 VACH 1 108 27 1086 2 OTHER
4 2012 26 ZE
Thanks!! that should work!!
On Wed, Jan 16, 2013 at 1:03 PM, arun wrote:
> HI,
>
> Saw ur post in Nabble.
> occ.data<-read.table(text="
> Año Punto Especie Pres Ruta_com Point Site Rep guild
> 1 201230TYSA1 10830 1086 5 OTHER
> 2 201226VACH1 10826 1
Hi,
May be this helps you.
source("Andreadata.txt")
head(occ.data)
melting<- melt(occ.data,id.var=c("Point", "Site", "Rep",
"Año"),measure.var="Pres")
y<-cast(melting,Site~Rep~Point~Año)
dim(y)
#[1] 10 5 25 6
y[,,25,6]
# Rep
#Site 1 2 3 4 5
# 1021 0 0 0 0 0
# 1022 0 0 0 0 0
# 10
Sure! Although I'm not sure how to use dput()
Here is more detail and some data what I want is that the repetitions
in Y (at the end) only have 1 or 0...
> library(reshape)
> library(car)
>
> ###Read in the occurence data
> occ.data <- read.table("Occ_short.csv",
header=TRUE,sep=",",na.string
Dear Andrea
I may have not understood the question properly, but I guess it has to do with
replacing values before and after casting.
The molten object ('melting') is a data frame, whilst the cast object ('y') is
an array.
Crucially, the values of the variable "Rep" in the 'melting' data f
Sorry, but i don't get the problem at all.
Could you provide a bit of y by using dput()?
Can you provide an example of how you want the data to look like after the
transformation?
On 16.01.2013, at 16:42, Andrea Goijman wrote:
> Dear list,
>
> I'm working with a large data set, where I groupe
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