I sent that last email too quickly, the duplicate column names cause a
problem when melting. Transposing the data frame first gets around it:
reshape2::melt(t(df))[c('Var1', 'value')]
Var1 value
1 a 3
2 b 2
3 a 9
4 b 6
5 a 5
6 b 8
7 a 1
8 b 4
On 2014-03-24 12:02, Tham Tran wrote:
Dears R Users,
I have another question on function "stack".
Given a data frame like:
df=data.frame(a=c(3,5),b=c(2,8),a=c(9,1),b=c(6,4),check.names=F)
a b a b
3 2 9 6
5 8 1 4
I would like to form a new data frame like:
values ind
1 3 a
2 5 a
3 2 b
4 8 b
5 9 a
6 1 a
7 6 b
8 4 b
I arrived with the script:
stack = function (x, ...)
{
x = as.list(x)
keep = unlist(lapply(x, is.vector))
if (!sum(keep))
stop("at least one vector element is required")
if (!all(keep))
warning("non-vector elements will be ignored")
x = x[keep]
data.frame(values = unlist(unname(x)), ind =
factor(rep.int(names(x),
lapply(x, length))), stringsAsFactors = FALSE, ...)
}
stack(df, check.names = FALSE)
Do you have any other simple manner to that?
Thanks in advance for your helps!
Tham
--
View this message in context:
http://r.789695.n4.nabble.com/function-Stack-tp4687449.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
