Hello,
Inline.
Em 23-10-2012 15:23, Bert Gunter escreveu:
I don't think so. The OP wanted the list by columns, not rows, if I
understand correctly.
unlist(df)
provides this. Of course, the request probably does not makes sense in
the first place, as the different types/classes in the data.frame will
be coerced to one type/class. Moreover, factors will become numeric
(is this what motivated the original request??):
dat <- data.frame(a = 1:3, b=letters[1:3])
dat
a b
1 1 a
2 2 b
3 3 c
unlist(dat)
a1 a2 a3 b1 b2 b3
1 2 3 1 2 3
So, a guess would be that the OP wants:
unlist(lapply(dat,as.character))
a1 a2 a3 b1 b2 b3
"1" "2" "3" "a" "b" "c"
Right. I've posted a similar solution, but I find this one better. In
both of them, at least the coercion is explicit, so the user knows what
to expect as output.
Rui Barradas
But without the requested reproducible example, this is only a guess.
Again, note the coercion of numerics to character.
I would also guess that the OP might benefit by reading the Intro to R
tutorial and the data frame section of the R Language Definition
Manual -- and perhaps ?data.frame -- to better understand the nature
of data frames and what can and cannot be done with them.
Of course, I may have missed the mark altogether, in which case, please ignore.
-- Bert
On Tue, Oct 23, 2012 at 6:48 AM, Rui Barradas <ruipbarra...@sapo.pt> wrote:
Hello,
Use apply/paste.
apply(df, 1, paste, collapse = "") # outputs a vector
Also, df is the name of an R function, you should choose something else, it
can become confusing.
Hope this helps,
Rui Barradas
Em 23-10-2012 12:45, brunosm escreveu:
Hi,
I have a data frame with 100 variables (numeric and non numeric types),
and
I want to join them in only one column, like a vector, but i want to keep
the non numeric variables like they are.
I know that i can do something like this:
Suppose that my data is in df variable
new_df<-data.frame(c(df[,1],df[,2],df[,3],df[,4],...........)
This works but i have 100 variables!
Any way of doing this a little bit faster?
Thanks a lot!
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