More on list to data frame (was: Re: [R] List to Data Frame

[Ko-Kang Kevin Wang]

Hi,

Now suppose I have just one list called FOO, which has 25 objects, e.g.:
  [[1]]
  1 2 3 4 5
  [[2]]
  6 7 8 9 10
  .
  .
  .

And I want to do something like:
  FRED <- data.frame(cbind(unlist(FOO[[1]]),
                           unlist(FOO[[2]]),
                           # ... for all 25 subsets
                     ))

Is it possible to do this, without doing unlist(FOO[[i]]) 25 times?

Cheers,

Kevin


On Fri, 23 Aug 2002, Patrick Connolly wrote:

> Date: Fri, 23 Aug 2002 17:02:37 +1200
> From: Patrick Connolly <p.connolly at hortresearch.co.nz>
> To: Ko-Kang Kevin Wang <kwan022 at stat.auckland.ac.nz>
> Subject: Re: [R] List to Data Frame
> 
> On Fri, 23-Aug-2002 at 01:35PM +1200, Ko-Kang Kevin Wang wrote:
> 
> |> Hi,
> |> 
> |> Suppose I have two lists.  The first list is called FOO while the second
> |> is called FRED.  
> |> 
> |> Say FOO looks (I've simplifed it) like:
> |>     [[1]]
> |>             [,1]
> |>   [1,] 1
> |>   [2,] 2
> |> 
> |>     [[2]]
> |>             [,1]
> |>   [1,] 3
> |>   [2,] 4
> |> while FRED looks like:
> |>     [[1]]
> |>             [,1]
> |>   [1,] 5
> |>   [2,] 6        
> |> 
> |>     [[2]]
> |>             [,1]
> |>   [1,] 7  
> |>   [2,] 8
> |> 
> |> Can I turn this list into a dataframe which looks like:
> |>              FOO  FRED 
> |>   theta1.1     1     5
> |>   theta2.1     2     6
> |>   theta1.2     3     7
> |>   theta2.2     4     8
> |> or something close to this form?
> 
> I think this would get you pretty close:
> 
> data.frame(FOO = unlist(FOO), FRED = unlist(FRED))
> 
> 
> best
> 
> 
> -- 
> Patrick Connolly
> HortResearch
> Mt Albert
> Auckland
> New Zealand 
> Ph: +64-9 815 4200 x 7188
> ~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
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> 
> 
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Cheers,

Kevin

------------------------------------------------------------------------------
Ko-Kang Kevin Wang
Postgraduate PGDipSci Student
Department of Statistics
University of Auckland
New Zealand
Homepage: http://www.stat.auckland.ac.nz/~kwan022


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