I have a matrix of data. I need to scan the matrix and find every
sequence from maxima to maxima across a row. I can write a loop to do
this easily. Problem is, I can't figure out how to store the results.
Each result is a vector of widely varying lengths. Ideally I'd like a
vector of these, i.e. a vector of vectors, so I can quickly iterate
through them and compute correlation coefficients.
Here's a transcript of my fuddling to date:
> x <- c(1,2,3)
> y <- c(4,5)
> v <- list("1"=x, "2"=y)
> unlist(v["1"])
11 12 13
1 2 3
> unlist(v["1"])[1]
11
1
> unlist(v["1"])[2]
12
2
> unlist(v["1"])[3]
13
3
> unlist(v["2"])[3]
<NA>
NA
> unlist(v["2"])[2]
22
5
> v <- c(x,y)
> v
[1] 1 2 3 4 5
> v <- vector()
> v <- merge(v, x)
> v
[,1] [,2]
attr(,"row.names")
integer(0)
> v[1]
[1] NA
>
As you can see, vectors aren't very cooperative and lists are
downright baffling to me.
Shawn Garbett <shawn.p.garb...@vanderbilt.edu>
Vanderbilt Cancer Biology
220 Pierce Ave, PRB 715AA
Nashville, TN 37232
Office: 615.936.1975
Cell: 615.397.8737
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