similar to: Inverting a square matrix using solve() with LAPACK=TRUE (PR#13762)

Refiling this. The actual fix was slightly more complicated. Will soon be committed to R-Patched (aka 2.9.1 beta). -p rvaradhan at jhmi.edu wrote: > Full_Name: Ravi Varadhan > Version: 2.8.1 > OS: Windows > Submission from: (NULL) (162.129.251.19) >=20 >=20 > Inverting a matrix with solve(), but using LAPACK=3DTRUE, gives erroneo= us > results: Thanks, but there seems

rvaradhan at jhmi.edu wrote: > Full_Name: Ravi Varadhan > Version: 2.8.1 > OS: Windows > Submission from: (NULL) (162.129.251.19) > > > Inverting a matrix with solve(), but using LAPACK=TRUE, gives erroneous > results: Thanks, but there seems to be a much easier fix. Inside coef.qr, we have coef[qr$pivot, ] <- .Call("qr_coef_real", qr, y, PACKAGE =

Hello. I am trying to invert a matrix, and I am finding that I can get different answers depending on whether I set LAPACK true or false using "qr". I had understood that LAPACK is, in general more robust and faster than LINPACK, so I am confused as to why I am getting what seems to be invalid answers. The matrix is ostensibly the Hessian for a function I am optimizing. I want to get

Hi, I have a least square fitting problem with linear inequality constraints. pcls seems capable of solving it so I tried it, unfortunately, it is stuck with the following error: > M <- list() > M$y = Dmat[,1] > M$X = Cmat > M$Ain = as.matrix(Amat) > M$bin = rep(0, dim(Amat)[1]) > M$p=qr.solve(as.matrix(Cmat), Dmat[,1]) > M$w = rep(1, length(M$y)) > M$C = matrix(0,0,0)

Hi apologies for what will seem a daft question I'm getting problems with my mail provider who is using dovecot. I've loaded Dovecot on a 8 core ARMHF SBC version 2.2.33.2 on Ubuntu 18.04. The SBC is headless. and the load looks very light and only needs to store/cache 4GB of mail Can I use Dovecot as a buffer between my mail providers Dovecot servers and the several IMAP mail clients

Hi everyone, I am looking to use R as a MATLAB replacement for linear algebra. I've done a fairly good job for finding replacements for most of the functions I'm interested in, I John Fox wrote a program for implementing the reduced row echelon form of a matrix (by doing the Gauss-Jordan elimination). I modified it a bit: rref <- function(A,

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Hi, For those who are interested, I have update my R benchmark (to version 1.5.0) and also to Splus 6. They are available at: http://www.sciviews.org/other/benchmark.htm. A comparison is made between Matlab (5.3 & 6), R 1.5.0, Splus 6 rel 2, O-Matrix 5.1, Octave 2.1.31, Scilab 2.6, Rlab 2.1 and OX 3.00 under Windows 2000 pro. Overall, R is not the fastest package, but it is one of the

Dear all, I am trying to get an estimate of the intercept for a linear model. In this case, I know the slope of the model, can anyone tell me how to constrain the formula in lm() so that it only estimates the intercept not the slope? Many thanks in advance, Sincerely, Liqing Zhang Dept. of Eco. Evol. Biol. Univ. of CA, Irvine email: lzhang at uci.edu >From VM Mon Apr 30 08:18:45 2001

The bug I submitted yesterday (It's not entered in the bug data base, so I have no ID for it) included a suggested fix that is not correct. It worked for the examples I gave because there was no pivoting in fact, or only pivot permutations that were idempotent. A correction that works in general on the examples I gave makes these two changes in qr.coef(): ## coef[qr$pivot, ]

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I''ve got a regex validation on one of the inputs to my application, a file path. Now these only ever come from trusted users (administrators), but it would still be good to catch the most obvious attempts at directory traversal, etc. I''ve already got a regex that only allows \w then -, . and /. However, I want to stop two dots in a row, so I was wondering how to make the

How to invert match parameter? Like this: tc filter add dev eth0 protocol ip parent 1: prio 1 u32 \ match ip src 10.20.30.40 \ match ip dst !10.30.0/24 \ match ip dst !10.40.0/24 \ flowid 1:20 _______________________________________________ LARTC mailing list / LARTC@mailman.ds9a.nl http://mailman.ds9a.nl/mailman/listinfo/lartc HOWTO: http://lartc.org/

Hi.. I have to invert a 15000 x 15000 matrix (generalized inverse). I do run the process on a fairly powerful computer. but still complains indufficient memory. Is there a way one can invert a large matrix in some other efficient manner. Thanks Harsh --------------------------------- [[alternative HTML version deleted]]

https://bugzilla.netfilter.org/show_bug.cgi?id=1241 Bug ID: 1241 Summary: Please support inverting filters Product: conntrack-tools Version: unspecified Hardware: All OS: All Status: NEW Severity: enhancement Priority: P5 Component: conntrack Assignee: netfilter-buglog at

Dear all, Either I'm being totally blind now (as you know, the eyes are the first thing that is blinded :-)), or something is missing in "An Introduction to R". The section heading of section 5.7.1 is "Multiplication, inversion and solving linear equations", and since I was looking for the canonical way of inverting a matrix, this was the place to look. However, I found

Sorry for the way off-topic post, but this list has the highest concentration of statistical computing gurus anywhere. I'm looking for a C routine for efficiently inverting large, sparse matrices (at least 6000 x 6000 and potentially as large as 20,000 x 20,000 with perhaps 80% of the off-diagonal elements empty). I looked in http://gams.nist.gov/serve.cgi/Class/D2a4/ but I have no way of

Is there an easy way to invert a table? (not to solve for the inverted matrix, just swap rows for columns & vice versa). I've gone through my data manipulation bible (Phil Spector's book), but to no avail. [[alternative HTML version deleted]]

G'day, All. I have been trying to trackdown a problem in my R analysis script. I perform a scale() operation on a matrix then do further work. Is there any way of inverting the scale() such that sX <- scale(X) Xprime <- inv.scale(x); # does inv.scale exist? resulting in Xprime_{ij} == X_{ij} where Xprime_{ij} \in R There must be some way of doing it but I'm such a newb