Join data frame columns

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"

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

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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