If you have many such repetitions it can be annoying to type the
rbind(cbind ... sequence. Perhaps this would help,
m <- read.table(textConnection("
Individuals Value
A 3
B 4
C 5
D 2"), head=T)
data.frame(groups= rep(c("group1", "group2", "group3"),
each=nrow(m)), Ind=m[, 1], val=m[, 2])
You could also try Hadley's plyr package,
rdply(3,m) # you might want to rename the column name and make(.n) a
factor with adequate levels
baptiste
On 3 Mar 2009, at 14:28, David Winsemius wrote:
Your data objects could not be matrices with that composition of
values. Let's use the correct data type:
df <- data.frame(Ind = letters[1:4], val = sample(1:4, 4))
df
Ind val
1 a 4
2 b 2
3 c 3
4 d 1
rbind(cbind(df,"GruppeEin"),cbind(df,"GruppeZwei")) #v ariable
recycling
Ind val y
1 a 4 GruppeEin
2 b 2 GruppeEin
3 c 3 GruppeEin
4 d 1 GruppeEin
5 a 4 GruppeZwei
6 b 2 GruppeZwei
7 c 3 GruppeZwei
8 d 1 GruppeZwei
is.data.frame(rbind(cbind(df,"GruppeEin"),cbind(df,"GruppeZwei")))
[1] TRUE
--
David Winsemius
On Mar 3, 2009, at 8:53 AM, Usuario R wrote:
Hi all,
I would like to transform to long format a matrix which has only
information about individuals and a value for each individual. I
would like
to have it in ling format with more information related to groups,
so ell
values and individuals are repeated for each group. Let me show the
example:
matrix in wide format:
Individuals Value
A 3
B 4
C 5
D 2
And long format would be like:
Individuals Value Group
A 3 Group1
B 4 Group1
C 5 Group1
D 2 Group1
A 3 Group2
B 4 Group2
C 5 Group2
D 2 Group2
My case is of course very large so i thought this could be possible
with
reshape function by adding a vector with the names of the groups or
something like that.
Thanks in advance.
[[alternative HTML version deleted]]
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______________________________________________
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_____________________________
Baptiste Auguié
School of Physics
University of Exeter
Stocker Road,
Exeter, Devon,
EX4 4QL, UK
Phone: +44 1392 264187
http://newton.ex.ac.uk/research/emag
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
