dear all,
I'm building new dataframes from bigger one's using e.g. columns F76,
F83,
F90:
JJ<-data.frame( c( as.character(rep( gender,3))) , c( F76,6- F83, F90) )
Looking into JJ one has:
c.as.character.rep.gender..8...
c.6...F73..F78..F79..F82..6...F84..F94..F106..F109
1 w 2
2 w 3
3 m 1
etc.
Instead of the automatic colnames 'c.as.character.rep.gender..8' I like
to
have the colnames 'gender' and 'J.value'.
I tried levels, labels etc but without success.
OK, I can fix(FF) manually, but this is bad, because it has to be done again
and again ..
OK, I can do
gender.J<-c( as.character(rep( gender,3)))
Jvalue<-c( F76,6- F83, F90)
JJ<-data.frame(gender.J, J.value)
but this is not optimal because 'gender' is depending on rep(.., n) and
I
have many dataframes KK, LL, .. using 'gender' with different size.
Question: is it possible to do something like
JJ<-data.frame(c( as.character(rep( gender,3))),c( F76,6- F83, F90), ??
col.names=c("gender","Jvalue") ?? )
Sorry, if my question is elementary, but I could not find a fix.
Thank your for your advice.
hth
Wolfgang
See the help page. You name the arguments, e.g.
JJ <- data.frame( gender= c( as.character(rep( gender,3))) ,
J.value -c( F76 ,6-F83, F90) )
The help says
Arguments:
...: these arguments are of either the form 'value' or 'tag
value'. Component names are created based on the tag (if
present) or the deparsed argument itself.
On Wed, 3 Dec 2008, Wolfgang Lindner wrote:
> dear all,
>
> I'm building new dataframes from bigger one's using e.g. columns
F76, F83,
> F90:
>
> JJ<-data.frame( c( as.character(rep( gender,3))) , c( F76,6- F83, F90) )
>
> Looking into JJ one has:
>
> c.as.character.rep.gender..8...
> c.6...F73..F78..F79..F82..6...F84..F94..F106..F109
> 1 w 2
> 2 w 3
> 3 m 1
> etc.
>
> Instead of the automatic colnames 'c.as.character.rep.gender..8' I
like to
> have the colnames 'gender' and 'J.value'.
> I tried levels, labels etc but without success.
>
> OK, I can fix(FF) manually, but this is bad, because it has to be done
again
> and again ..
> OK, I can do
>
> gender.J<-c( as.character(rep( gender,3)))
> Jvalue<-c( F76,6- F83, F90)
> JJ<-data.frame(gender.J, J.value)
>
> but this is not optimal because 'gender' is depending on rep(.., n)
and I
> have many dataframes KK, LL, .. using 'gender' with different size.
>
> Question: is it possible to do something like
>
> JJ<-data.frame(c( as.character(rep( gender,3))),c( F76,6- F83, F90), ??
> col.names=c("gender","Jvalue") ?? )
>
> Sorry, if my question is elementary, but I could not find a fix.
>
> Thank your for your advice.
>
> hth
>
> Wolfgang
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
thank you all, Jagat, Bert and Prof. Ripley for your kind help.
The PROBLEM was:
give descripitve names to the columns in
JJ<-data.frame( c( as.character(rep( gender,3))) , c( F76,6- F83, F90) )
Possible SOLUTIONs are:
1. JJ <- data.frame( gender=c( as.character(rep( gender,3))) ,
J.value=c(F76,6- F83, F90) )
2. names(JJ) <- c("gender","J.value")
Now I can continue my work being happy with R.
hth
Wolfgang