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, April 20, 2016 10:59 AM, William Dunlap <wdun...@tibco.com>
wrote:
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 toits first argument unless you use intercept=FALSE.Then it will give you
an answer (but I think it convertsyour sparse matrix into a dense one before
doingany linear algebra).
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Wed, Apr 20, 2016 at 4:22 AM, A A via R-help <r-help@r-project.org> wrote:
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 a
relatively simple A and b, along with three other methods of solving this
system that I found online, two of which give me an error and one of which
succeeds on the simplified problem, but fails on my data set(attached). Is
there a solver in R that I can use in order to get x without any errors given
the structure of A? Thanks for your time.
#CODE STARTS HEREA =
as(matrix(c(1.5,-1.5,0,-1.5,2.5,-1,0,-1,1),nrow=3,ncol=3),"sparseMatrix")b =
matrix(c(-30,40,-10),nrow=3,ncol=1)
#solve for x, Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of
memory)solve(A,b,sparse=TRUE,tol=.Machine$double.eps)
#one x that happens to solve Ax = bx = matrix(c(-10,10,0),nrow=3,ncol=1)A %*% x
#Error in lsfit(A, b) : only 3 cases, but 4 variableslsfit(A,b)#solves the
system, but fails belowsolve(qr(A, LAPACK=TRUE),b)#Error in qr.solve(A, b) :
singular matrix 'a' in solveqr.solve(A,b)
#matrices used in my actual problem (see attached files)A = readMM("A.txt")b =
readMM("b.txt")
#Error in as(x, "matrix")[i, , drop = drop] : subscript out of
boundssolve(qr(A, LAPACK=TRUE),b)
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