help "reshaping" dataframe

HI,

May be this helps:

?occ.data1<-occ.data[,-c(2:3)]
res<-reshape(occ.data1,direction="wide",idvar=c("specie","Site","Pres","year"),timevar="Rep",v.names="Rep")
res<-res[,c(1:4,7:8,5:6,9)]
res[grep("Rep",names(res))]<-apply(res[grep("Rep",names(res))],2, function(x) ifelse(is.na(x),0,1))?names(res)[grep("Rep",names(res))]<-gsub("[.]","",names(res)[grep("Rep",names(res))])
?row.names(res)<-1:nrow(res)
?res
#? year Site specie Pres Rep1 Rep2 Rep3 Rep4 Rep5
#1 2003 2021?? MICH??? 1??? 0??? 0??? 1??? 1??? 0
#2 2003 2021?? MISA??? 1??? 1??? 0??? 0??? 0??? 0
#3 2003 2021?? MOBO??? 1??? 1??? 1??? 1??? 1??? 0
#4 2003 2021?? SILU??? 1??? 1??? 0??? 0??? 1??? 0
#5 2003 2021?? TYSA??? 1??? 0??? 0??? 0??? 0??? 1
#6 2003 2021?? ZEAU??? 1??? 1??? 0??? 1??? 1??? 1
#7 2003 2021?? ZOCA??? 1??? 1??? 0??? 0??? 1??? 1
#8 2003 2022?? MICH??? 1??? 0??? 0??? 0??? 0??? 1
#9 2003 2022?? MISA??? 1??? 0??? 1??? 1??? 0??? 0
A.K.



----- Original Message -----
From: Andrea Goijman <agoijman at cnia.inta.gov.ar>
To: R help <r-help at r-project.org>
Cc: 
Sent: Friday, January 4, 2013 6:15 PM
Subject: [R] help "reshaping" dataframe

List,

I want to reshape my data, but I'm not sure how to do it... it might be a
simple task, but don't know which package does this.
"occ.data" (see below) is how my original data are arranged, and I know
that with melt() I can reshape it like "y" (see below). However, I just
want to build a matrix like the "y" matrix, but with only 2 dimensions.
Something like this:

? ? year? ? Site? ? ? specie? Pres? Rep1? Rep2? Rep3? Rep4? Rep5
1? 2003?  2021? ? MICH? ?  1? ? ? ? ? 0? ? ? ? 0? ? ? ? ?  1? ? ? ? 1
0
3? 2003?  2021? ? MISA? ?  1? ? ? ? ? 1? ? ? ? 0? ? ? ? ? ? 0? ? ? ? 0
? 0
4? 2003?  2021? ? MOBO? ? 1? ? ? ?  1? ? ? ? 1? ? ? ? ? ? 0? ? ? ? 0
0

where "year" and "specie" are not another dimension, they are different
columns; and Rep is the other dimension

occ.data <- read.table("Occ_03.csv", header=TRUE,sep=",",na.strings=TRUE)
occ.data[1:20,]

? ? year Ruta Point Site specie Pres Rep
1? 2003? ? ? 202? ?  3 2021? ? MICH? ? 1?  3
2? 2003? ? ? 202? ?  4 2021? ? MICH? ? 1?  4
3? 2003? ? ? 202? ?  1 2021? ? MISA? ? 1?  1
4? 2003? ? ? 202? ?  1 2021? ? MOBO? ? 1?  1
5? 2003? ? ? 202? ?  2 2021? ? MOBO? ? 1?  2
6? 2003? ? ? 202? ?  3 2021? ? MOBO? ? 1?  3
7? 2003? ? ? 202? ?  4 2021? ? MOBO? ? 1?  4
8? 2003? ? ? 202? ?  1 2021? ? SILU? ? 1?  1
9? 2003? ? ? 202? ?  4 2021? ? SILU? ? 1?  4
10 2003? ? ? 202? ?  5 2021? ? TYSA? ? 1?  5
11 2003? ? ? 202? ?  1 2021? ? ZEAU? ? 1?  1
12 2003? ? ? 202? ?  3 2021? ? ZEAU? ? 1?  3
13 2003? ? ? 202? ?  4 2021? ? ZEAU? ? 1?  4
14 2003? ? ? 202? ?  5 2021? ? ZEAU? ? 1?  5
15 2003? ? ? 202? ?  1 2021? ? ZOCA? ? 1?  1
16 2003? ? ? 202? ?  4 2021? ? ZOCA? ? 1?  4
17 2003? ? ? 202? ?  5 2021? ? ZOCA? ? 1?  5
18 2003? ? ? 202? ? 10 2022? ? MICH? ? 1?  5
19 2003? ? ? 202? ?  7 2022? ? MISA? ? 1?  2
20 2003? ? ? 202? ?  8 2022? ? MISA? ? 1?  3

###Reshape the data using the R package "reshape"
library(reshape)

all.melt=melt(occ.data,id.var=c("specie", "Site", "Rep", "year"),

measure.var="Pres")

y=cast(all.melt, Site ~ Rep ~ specie ~ year)

y[is.na(y)] <- 0

y[1:10,,1,]

, , year = 2003

? ? ? Rep
Site?  1 2 3 4 5
? 1021 0 0 0 0 0
? 1022 0 0 0 0 0
? 1023 0 0 0 0 0
? 1024 0 0 0 0 0
? 1025 0 0 0 0 0
? 1026 0 0 0 0 0
? 2021 0 0 0 0 0
? 2022 0 0 0 0 0
? 2023 0 0 0 0 0
? 2024 0 0 0 0 0

, , year = 2004

? ? ? Rep
Site?  1 2 3 4 5
? 1021 0 0 0 0 1
? 1022 1 0 0 0 0
? 1023 0 0 0 0 0
? 1024 0 0 0 0 0
? 1025 0 0 0 0 0
? 1026 0 0 0 0 0
? 2021 0 0 0 0 0
? 2022 0 0 0 0 0
? 2023 0 0 0 0 0
? 2024 0 0 0 0 0

??? [[alternative HTML version deleted]]

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