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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Heritage Laboratories
West Hartford, CT
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.