similar to: behaviour and documentation of qr.solve

Hi, sorry, I'm an idiot.. and I know I'm missing something stupid.. I thought if we solve an underdetermine system with QR, my soln is: min ||x|| (L2 sense) such that Ax = b then say i have: > w <- matrix(c(1, 5), ncol=2) > sw = 2 > qrW = qr(t(w) %*% w) > qr.coef(qrW, t(w) %*% sw) [,1] [1,] 2 [2,] NA but we also have soln (0, 2/5) which obviously has a

Is there a simple method under R to solve an overdetermined system of linear equations Ax=b with A being a matrix m*n? I know that solve() seems to work for m*m matrices, but I had no luck with overdetermined systems. Mlod

Dear R users, I have to find optimal solution of an underdetermined linear system, but only with positive variables. I tried the function from this post https://stat.ethz.ch/pipermail/r-help/2007-October/143408.html , but it's solution includes also negative values. Thanks in advance. Best Regards. ------------------------------------- Майски празници на остров Лефкада, Гърция от 158

Hi The Food and Agriculture Organization of the United Nations (FAO), based in Rome, is in urgent need of an econometrican/statistican. The candidate will be required to provide in the absence of primary information model-based estimates of elements of utilization that enter our Food Balance Sheets (see http://faostat3.fao.org/home/index.html#HOME). We are therefore looking for two candidates

Offlist, because this is (a) an opinion and (b) about statistics and therefore offtopic. I don't know whether any such package exists, but I would predict that this is likely to be overdetermined (too many parameters) and therefore unlikely to be a successful strategy. Fitting a mixture of Gaussians is already difficult enough. Feel free to ignore, of course, and no need to reply. Cheers,

I don?t see how neither a) or b) applies to this question nor the technical merit of the remark about mixture models. Do you have a suggestion for a more appropriate forum for this issue/question? (stackoverflow basically sent me here). Kind regards > On 29. Jun 2017, at 16:58, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > Offlist, because this is (a) an opinion and (b)

[I thought I'd submitted this bug report some time ago, but it's never showed up on the bug tracking system, so I'm submitting again.] qr.solve() gives incorrect results when dealing with complex matrices or with qr objects that have been computed with LAPACK=TRUE, whenever the b argument has more than one column. This bug flows from qr.coef(), which has a similar problem. I believe

> Date: Mon, 1 May 2000 16:25:11 +0200 (CEST) > From: gb <gb at stat.umu.se> > > On 1 May 2000, Douglas Bates wrote: > > gb <gb at stat.umu.se> writes: > > > > > How about 'Ainv <- qr.solve(A)'? > > > > > > I happened to read the help page for 'qr.solve' the other day, and there I > > > found that

Two friend reported me a problem, which I can't solve: (I run R-1.0.0, Debian Linux) They hava a function "corr.matrix" (see end of mail), and when they create a 173x173 matrix with this function V <- corr.matrix(0.3, n=173) V1 <- qr.solve(V) reports: Error in qr(a, tol = tol) : NA/NaN/Inf in foreign function call (arg 1) For n < 173, qr.solve returns the correct

Dear R experts, I have a Matlab code which I am translating to R in order to examine and enhance it. First of all, I need to reproduce in R the results which were already obtained in Matlab (to make sure that everything is correct). There are some matrix manipulations and '\' operation among them in the code. I have the following data frame > ABS.df Pro syn

Default for builds from git is --with-image-minimizer and Fedora builds will have --without-image-minimizer Blacklisting (forceful removal of files and packages) is forbiden by Fedora Spin rules, so official oVirt Node Spin will not use it. --- configure.ac | 12 ++++++------ ovirt-node.spec.in | 2 +- recipe/Makefile.am | 1 +

As we prepare to push ovirt-node ISOs to ovirt.org while also working on getting an ovirt-node spin into Fedora, there is some debate over whether the version hosted on ovirt.org should use the minimizer kickstart or not. Main argument for including the minimizer kickstart: Size. We're currently looking at something around 130MB for the ISO with minimizer and probably around double that

Dear maintainers, I'm reporting a bug in qr.coef that mishandles the colnames of matrix. A minimal reproducible example is as follows: x <- cbind(rep(0, 10), rep(0, 10)) y <- rep(0, 10) q <- qr.default(x) qr.coef(q, y) [1] NA NA If x has colnames, then qr.coef will end up with an error: x <- cbind(x1 = rep(0, 10), x2 = rep(0, 10)) y <- rep(0, 10) q <- qr.default(x)

> sessionInfo() R version 2.13.1 (2011-07-08) Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit) locale: [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] Matrix_0.999375-50 lattice_0.19-30 loaded via a namespace (and not attached): [1] grid_2.13.1

With this example set.seed(123) A <- matrix(runif(40), nrow = 8) y <- 1:nrow(A) A.laqr <- qr(A, LAPACK=TRUE) both qr.qy(A.laqr,y) and qr.qty(A.laqr,y) give the respective error messages Error in qr.qy(A.laqr, y) : 'b' must be a numeric matrix Error in qr.qty(A.laqr, y) : 'b' must be a numeric matrix However when Lapack is not used as in A.liqr <- qr(A,

Dear R people, I do not have much knowledge about linear algebra but currently I need to understand what the function qr.qty is actually doing. The documentation states that it calculates t(Q) %*% y via a previously performed QR matrix decomposition. In order to do that, I tried following basic example: m<-matrix(c(1,0,0,0,1,0,0,0,1,0,0,1),ncol=3) # 4x3 matrix

In RHEVH, we don't use libvirt-guests init script. rhbz#728433 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/rhevh6-minimizer.ks | 1 + 1 files changed, 1 insertions(+), 0 deletions(-) diff --git a/recipe/rhevh6-minimizer.ks b/recipe/rhevh6-minimizer.ks index f3b5c2e..449f2c1 100644 --- a/recipe/rhevh6-minimizer.ks +++ b/recipe/rhevh6-minimizer.ks @@ -4,3 +4,4 @@

Due to a critical dracut bug, and a strong dev focus on F16, we're dropping all F15 recipes. Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/ovirt15-install.ks | 1 - recipe/ovirt15-minimizer.ks | 1 - recipe/ovirt15-pkgs.ks | 2 - recipe/ovirt15-post.ks | 145 ------------------------------------------ recipe/ovirt16-install.ks | 2 +-

Also add kickstarts for F17 Signed-off-by: Mike Burns <mburns at redhat.com> --- recipe/Makefile.am | 2 +- recipe/ovirt17-install.ks | 1 + recipe/ovirt17-minimizer.ks | 1 + recipe/ovirt17-pkgs.ks | 1 + recipe/ovirt17-post.ks | 1 + 5 files changed, 5 insertions(+), 1 deletions(-) create mode 120000 recipe/ovirt17-install.ks create mode 120000

avoids traversing /proc --- recipe/image-minimizer.ks.in | 4 ++-- 1 files changed, 2 insertions(+), 2 deletions(-) diff --git a/recipe/image-minimizer.ks.in b/recipe/image-minimizer.ks.in index 2518c5c..956bc20 100644 --- a/recipe/image-minimizer.ks.in +++ b/recipe/image-minimizer.ks.in @@ -5,7 +5,7 @@ %post echo "Removing python source files" -find / -name '*.py' -exec