Now I get it, I was still thinking you wanted two columns. I was
confused by the "print" example.
Petr's suggestion works well then
Ivan
Le 3/17/2010 11:27, Petr PIKAL a écrit :
Hi
and did you try my suggestion?
as.data.frame(as.matrix(t, row.names = names(t)))
Regards
Petr
r-help-boun...@r-project.org napsal dne 17.03.2010 11:16:43:
Dear list,
Sorry, I did not explain myself very well.
I want to obtain a data.frame like this :
Freq
a 1
b 1
c 1
This data.frame contains just one column (Freq) and each row is named.
But when I use this code :
df<- as.data.frame(t)
or this code :
df<- as.data.frame(t, row.names(t))
The "a" column remains.
Thanks,
Carlos
2010/3/17 Petr PIKAL<petr.pi...@precheza.cz>
Hi
r-help-boun...@r-project.org napsal dne 17.03.2010 10:45:48:
Dear list,
I have a contingency table :
a<- letters[1:3]
t<- table(a)
I'm looking for a way to transform this table into data frame, as
follows :
Freq
a 1
b 1
c 1
I used :
df<- as.data.frame(t, row.names = names(t))
But, this function do not remove the duplicated column. Do you know
the
solution ?
You probably do not distinct between columns of data frame and row
names
of data frame. From what you told us it is not clear which one you
want to
keep
if row names use
as.data.frame(as.matrix(t, row.names = names(t)))
if you want to keep column
as.data.frame(t)
shall suffice.
Row names is not a data frame column.
Regards
Petr
Thanks in advance,
Carlos
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