Yes! Would you mind filing an issue so I dont forget?
Hadley
On Friday, July 29, 2011, Stavros Macrakis <macra...@alum.mit.edu> wrote:
> Perfect! Thanks!
> By the way, I see that, unlike base rbind, it does not work for vectors
and lists:
> rbind(c(a=1),c(b=2)) => matrix(1:2,2,1,dimnames=list(NULL,"a"))
== as.matrix(data.frame(a=1:2))
> but
> rbind.fill(c(a=1),c(b=2)) => NULL
> Shouldn't it give something like
> matrix(c(1,NA,NA,2),2,2,dimnames=list(NULL,c("a","b")))
> or
> data.frame(a=c(1,NA),b=c(NA,2))
> If, on the other hand, it insists on data.frames as input, it should err
out if give non-data-frames.
> -s
>
> On Thu, Jul 28, 2011 at 19:30, Hadley Wickham <had...@rice.edu> wrote:
>>
>> Use plyr::rbind.fill? That does match up columns by name.
>> Hadley
>>
>> On Thu, Jul 28, 2011 at 5:23 PM, Stavros Macrakis <macra...@alum.mit.edu>
wrote:
>> > I have a file of data where each line is a series of name-value pairs,
but
>> > where the names are not necessarily the same from line to line, e.g.
>> > a=1,b=2,d=5
>> > b=4,c=3,e=3
>> > a=5,d=1
>> > I would like to create a data frame which lines up the data in the
>> > corresponding columns. In this case, this would be
>> > data.frame( a = (1, NA, 4), b = (2, 4, NA), c = (NA, 3, NA), d = (5,
NA,
>> > 1), e = (NA, 3, 1) )
>> > One way I can think of doing this is to read in the data as one 'long'
data
>> > frame per line with a unique ID, e.g. line one becomes
>> > cbind(id=1,data.frame(variable=c('a','b','d'),value=c(1,2,5)))
>> > then rbind all the lines and use the reshape package function 'cast'.
>> > Is there a more straightforward way? (I'd have thought rbind would
line up
>> > columns by name, but it doesn't.)
>> > -s
>> >
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>>
>>
>> --
>> Assistant Professor / Dobelman Family Junior Chair
>> Department of Statistics / Rice University
>> http://had.co.nz/ <http://had.co.nz/>
>
>
--
Assistant Professor / Dobelman Family Junior Chair
Department of Statistics / Rice University
http://had.co.nz/
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