On Dec 2, 2009, at 7:02 PM, Robinson, David G wrote:

My apologies for this question but I¹m stuck and I¹m sure that there must be an easy answer out there (and hope that someone will have mercy and point me
in the right direction).

I have a data file that looks like:
1 77 3
1 8 1
1 7 2
1 1 5
1 42 7
1 0 2
1 23 1
2 83 9
2 8 2
2 6 5
2 23 3
3 11 3
3 8 1
.
.... etc.
.
N   3   2


(FWIW, these are document, word reference, and word frequency counts.) I
want to read the data into data frame, Doc, such that
Doc[[1]]=
    [,1] [,2] [,3] [,4] [,5] [,6] [,7]
[1,]    77    8    7    1    42    0    23
[2,]    3    1    2    5     7    2     1

Doc[[2]]=
    [,1] [,2] [,3] [,4]
[1,]    83    8    6    23
[2,]    9    2    5    3

Etc.

rd.txt <- function(txt, header=TRUE) {read.table(textConnection(txt), header=header)}

> dta <- rd.txt("1 77 3
+ 1 8 1
+ 1 7 2
+ 1 1 5
+ 1 42 7
+ 1 0 2
+ 1 23 1
+ 2 83 9
+ 2 8 2
+ 2 6 5
+ 2 23 3
+ 3 11 3
+ 3 8 1", header=F)
> dta
   V1 V2 V3
1   1 77  3
2   1  8  1
3   1  7  2
4   1  1  5
5   1 42  7
6   1  0  2
7   1 23  1
8   2 83  9
9   2  8  2
10  2  6  5
11  2 23  3
12  3 11  3
13  3  8  1


> split(dta[ ,-1], list(dta[,1]))
$`1`
  V2 V3
1 77  3
2  8  1
3  7  2
4  1  5
5 42  7
6  0  2
7 23  1

$`2`
   V2 V3
8  83  9
9   8  2
10  6  5
11 23  3

$`3`
   V2 V3
12 11  3
13  8  1

> ?split
> lapply(split(dta[ ,-1], list(dta[,1])), t)
$`1`
    1 2 3 4  5 6  7
V2 77 8 7 1 42 0 23
V3  3 1 2 5  7 2  1

$`2`
    8 9 10 11
V2 83 8  6 23
V3  9 2  5  3

$`3`
   12 13
V2 11  8
V3  3  1



It seems like I should be able to do this using a flat contingency table method such as 'read.ftable' or possibly using 'stack' . However, something
is not clicking and hence my plea for assistance.

Thanks in advance,
Dave Robinson
dro...@sandia.gov

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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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David Winsemius, MD
Heritage Laboratories
West Hartford, CT

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and provide commented, minimal, self-contained, reproducible code.

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