The usual culprit in messy code is posting in HTML format. That usually leads
to stripping of the formatting by the mailing list and a notice that that
occurred, but I don't see that warning here. I still think posting plain text
format would fix the problem.
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Sent from my phone. Please excu
Thanks for the help. Sorry, I am not sure why it looks like that in the mailing
list - it looks much more neat on my end (see attached file).
On Wednesday, April 20, 2016 2:01 PM, Berend Hasselman
wrote:
> On 20 Apr 2016, at 13:22, A A via R-help wrote:
>
>
>
>
> I have a situati
Thanks for the response. Yes, in that situation a solution of x = 1 would be
just as good as x = 1000 or any other value of x for me (but in my problem the
matrix has nonzero rank, so I can't just randomly choose a vector and have it
be a solution). If it helps, what I'm interested in is the R e
Thanks for the advice. I fixed the function and ran it on my systems just to
see if it would work; for the first set of A and b, I got a valid solution, but
for the second set, I got the error "Error in complete.cases(x, y, wt) : not
all arguments have the same length".
On Wednesday, Apri
> On 20 Apr 2016, at 13:22, A A via R-help wrote:
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>
>
>
> I have a situation in R where I would like to find any x (if one exists) that
> solves the linear system of equations Ax = b, where A is square, sparse, and
> singular, and b is a vector. Here is some code that mimics my issue with
This is kind of like asking for a solution to x+1=x+1. Go back to linear
algebra and look up Singular Value Decomposition, and decide if you really want
to proceed. See also ?svd and package irlba.
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Sent from my phone. Please excuse my brevity.
On April 20, 2016 4:22:34 AM PDT, A A via R-hel
This is not a solution but your lsfit attempt
#Error in lsfit(A, b) : only 3 cases, but 4 variables
lsfit(A,b)
gave that error because lsfit adds a column of 1 to
its first argument unless you use intercept=FALSE.
Then it will give you an answer (but I think it converts
your sparse matrix int
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