>>>>> "TL" == Thomas Lumley <tlum...@u.washington.edu>
>>>>> on Fri, 20 Feb 2009 05:49:10 -0800 (PST) writes:
TL> On Fri, 20 Feb 2009, David Winsemius wrote:
>> If you can tolerate the subdiagonal and superdiagonal zero elements
being
>> populated, then perhaps this is useful. If there is a subset function as
you
>> suggest, then perhaps further reduction would be feasible from this as a
>> starting point. At least it would reduce the size from 10^5 x 10^5 to
10^5 x 3:
>>
>> library(Matrix)
>> xxx <- data.frame(x1 =1:5, y1=c(0,6,0,7,0) )
>> M= Matrix(0,5,5)
>> M[row(M) == col(M)] <- xxx$x1
>> M[row(M)-1 == col(M)] <- xxx$y1[1:(length(xxx$y1)-1)]
>> M[row(M) == col(M)-1] <- xxx$y1[1:(length(xxx$y1)-1)]
TL> That provides the right structure, but row(M) and col(M) are dense
matrices with 10^10 elements, so it still uses too much memory.
Yes, definitely, thank you, David, anyway.
I'll work out a nice solution, (but am currently busy with
something else, so will not be within the next hour).
For a future version of Matrix, I'd really like a nice user
interface, i.e., function, for constructing band matrices; this
has been on my TODO list, at least mentally, for quite a while,
and as I had never gotten close to use case, never gained enough
priority.
Maybe I can get some suggestions now on desired functionality of
such a function, bandMatrix(.) say ?
It probably should have an option for specifying symmetric
vs. "general" band matrices, something that the "corresponding"
Matlab function [ spdiags() ] does not.
Martin Maechler, ETH Zurich
TL> -thomas
TL> Thomas Lumley Assoc. Professor, Biostatistics
TL> tlum...@u.washington.edu University of Washington, Seattle
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