R help - Dec 2003 - How to append to a data.frame?

Hi,

I have a data.frame that I need to construct iteratively.

At the moment, I'm doing:

d<-data.frame(x=c(),y=c(),z=());

# {and, within some loop}

  d<-rbind(d,data.frame(x=newx,y=newy,z=newz);


While this works, it is horribly verbose and probably not efficient, either. 
My real data.frame has, of course, many more columns, which can be of 
different modes.

I vaguely recall that in much earlier R versions the following worked

  d[dim(d)[1]+1,]<-c(newx,newy,newz);

but not anymore (both 1.7 and 1.8 give "subscript out of bounds").

Can anyone suggest a more elegant and/or efficient way of achieving this, 
please? Cc to this address highly appreciated.

With many thanks,

David.


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Dr David Philip Kreil                
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On Tue, 9 Dec 2003, David Kreil wrote:
> 
> Hi,
> 
> I have a data.frame that I need to construct iteratively.
> 
> At the moment, I'm doing:
> 
> d<-data.frame(x=c(),y=c(),z=());
> 
> # {and, within some loop}
> 
>   d<-rbind(d,data.frame(x=newx,y=newy,z=newz);
> 
> 
> While this works, it is horribly verbose and probably not efficient,
either.
> My real data.frame has, of course, many more columns, which can be of 
> different modes.
> 
> I vaguely recall that in much earlier R versions the following worked
> 
>   d[dim(d)[1]+1,]<-c(newx,newy,newz);
> 
> but not anymore (both 1.7 and 1.8 give "subscript out of
bounds").
> 
> Can anyone suggest a more elegant and/or efficient way of achieving this, 
> please? Cc to this address highly appreciated.
Just allocate a large enough data frame to start with, then use indexing
to insert the rows.  If you cannot get a good bound on the eventual size,
over-allocate and double in size as needed.

-- 
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