similar to: Blinder-Oaxaca decompositions

Dear R-listers, does anybody know of any package developed to implement the Oaxaca-Blinder decomposition in R? I've been googling around and my reserch has been unfruitful. The latest news I've found were 1 year old. Does anybody know of any recent development? Has R ever been employed to run a Oaxaca-Blinder decomposition? Thanks for your kind support, f. [[alternative HTML version

Hi, I have an assignment in which I am asked to use the Oaxaca decomposition. I have not been able to find any support for this in R using rseek. Is anybody aware of an implementations of this in R? I know there is one for Stata, but I do not have easily access to Stata. Thanks, Rasmus [1] http://en.wikipedia.org/wiki/Ronald_Oaxaca

hello, i want to compute the top k eigenvalues+eigenvectors of a (large) real symmetric matrix. since it doesn't look like any top-level R function does this, i'll call LAPACK from a C shlib and then use .Call. the only LAPACK function i see to do this in R_ext/Lapack.h is dsyevx. however, i know that in LAPACK dsyevr can also return a partial eigendecomposition. why is dsyevr not

hello, i want to compute the top k eigenvalues+eigenvectors of a (large) real symmetric matrix. since it doesn't look like any top-level R function does this, i'll call LAPACK from a C shlib and then use .Call. the only LAPACK function i see to do this in R_ext/Lapack.h is dsyevx. however, i know that in LAPACK dsyevr can also return a partial eigendecomposition. why is dsyevr not

Hola queridos usuarios de R-HELP-ES Primero que nada, muchas gracias a todo aquellos que me prestaron ayuda en mi anterior pregunta, fue de gran utilidad. A lo siguiente, tengo ahora otras preguntas, que bajo mis conocimientos las considero complejas, espero que me puedan ayudar, se los agradezco de antemano. Necesito realizar las siguientes operaciones (#Operación general) a un conjunto de 18

Hi: I create a hermitian matrix and then perform its singular value decomposition. But when I put it back, I don't get the original hermitian matrix. I am having the same problem with spectral value decomposition as well. I am using R 1.7.0 on Windows. Here is my code: X <- matrix(rnorm(16)+1i*rnorm(16),4) X <- X + t(X) X[upper.tri(X)] <- Conj(X[upper.tri(X)]) Y <-

My setup: A SuperMicro 24-drive chassis with Intel dual-processor motherboard, three LSI SAS3081E controllers, and 24 SATA 2TB hard drives, divided into three pools with each pool a single eight-disk RAID-Z2. (Boot is an SSD connected to motherboard SATA.) This morning I got a cheerful email from my monitoring script: "Zchecker has discovered a problem on bigdawg." The full output is

I'm finding a fairly major difference in the behavior of include/exclude between 2 version of rsync: opensolaris running rsync version 2.6.9 Cygwin running rsync version 3.0.4 Run from Opensolaris using version 2.6.9 and pulling from a windows XP box with this cmdline: (Note: cmds are wrapped for mail) rsync -nvviirp --inplace --include="Temp/**/" \

Richard wrote: >> From: m.roth at 5-cent.us <snip> >> Anyway, starting late last week, we found issues - as in, its >> process, which runs under, and is started by, apache, was suddenly >> pegging a CPU or so. Trying to stop httpd, that worked... but this >> idiot process never did (and it's ugly to clean up after). >> >> What we just this

Hi guys, I have one E1 with 30 channels in Mexico City, I guess that if i can fill this 30 channels with REAL traffic for 2 or 3 days I can find new bugs on chan_unicall or I can see how stable it can be. Im using R2/MFC with chan_unicall the patch that Steve Underwood wrote. I will let anyone make FREE LOCAL calls to Mexico City till saturday or maybe until monday to see how stable this can

Can we do Cholesky Decompositon in R for any matrix --------------------------------- [[alternative HTML version deleted]]

On Monday 26 April 2010 14:03:35 Chandler Carruth wrote: > > I don't have a strong preference, but I am curious why all the atomics > > are integer-only. I would like to see 32- and 64-bit float supported as > > well, at minimum. > > I have no real problem with making the types of all of these analogous to > the types supported by icmp, and providing floating point

Hi all, I have a time series that contains double seasonal components (48 and 336) and I would like to decompose the series into the following time series components (trend, seasonal component 1, seasonal component 2 and irregular component). As far as I know, the STL procedure for decomposing a series in R only allows one seasonal component, so I have tried decomposing the series twice. First,

Possibly of limited use to the original poster, but of interest more generally, there are a number of tools developed in the 70s for updating the matrix decompositions. There's at least one in my 1979 book "Compact numerical methods for computers" (still in print apparently) -- we didn't have enough space to keep all the data in the HP9830A machine. If there's sufficient

On Mon, Apr 26, 2010 at 11:46 AM, David Greene <dag at cray.com> wrote: > On Monday 26 April 2010 10:19:06 Renato Golin wrote: > > On 26 April 2010 15:59, Jeffrey Yasskin <jyasskin at google.com> wrote: > > > To be clear, Chandler wasn't suggesting any change to the existing > > > load and store instructions. Instead, we were wondering if people like

On Mon, Apr 26, 2010 at 1:09 PM, David Greene <dag at cray.com> wrote: > On Monday 26 April 2010 14:03:35 Chandler Carruth wrote: >> We can allow the IR to represent vectors, but unless hardware supports it, >> I think lowering these by decomposing them is more than LLVM should try to >> do. Because of that, I'm not sure we should support vectors as elsewhere

On Fri 2020-07-03 15:29:22, Jann Horn wrote: > On Fri, Jul 3, 2020 at 1:30 PM Michal Hocko <mhocko at kernel.org> wrote: > > On Fri 03-07-20 10:34:09, Catangiu, Adrian Costin wrote: > > > This patch adds logic to the kernel power code to zero out contents of > > > all MADV_WIPEONSUSPEND VMAs present in the system during its transition > > > to any suspend

Dear Greg, Thanks for the new release. The decomposition of the SSQ is just what I need! Regards, Martin. Martin Hoyle, School of Life and Environmental Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK Webpage: http://myprofile.cos.com/martinhoyle >>> gregory_r_warnes at groton.pfizer.com 10/30/02 07:16PM >>> Version 0.7.3 of the gregmisc package

Hi, I am trying to find an elegant way to compute and store some frequently used matrices "on demand". The Matrix package already uses something like this for storing decompositions, but I don't know how to do it. The actual context is the following: A list has information about a basis of a B-spline space (nodes, order) and gridpoints at which the basis functions would be

Dear R-users, I couldn't find a function or some help in R-project web about the Generalized Singular Value Decomposition. In MatLab there is a simple function for this algebric issue (gsvd). Is there anything like that in R? And, if not, could you help me to apply this method in R? Thanks in advance, Giancarlo +++++ This mail has been sent through the MPI for Demographic Rese...{{dropped}}