similar to: "R"

Hey all, I have a Windows 2000 AD PDC that hosts a domain. He also trusts our existing Windows NT domain (2-way trust, they both trust each other). I also have a Gentoo Linux machine that I have compiled Samba 3.0 on. I can get almost everything to work with regards to talking to the Windows 2k PDC, like this: mccoy samba # wbinfo -u LIGHTSPEED+Administrator LIGHTSPEED+Guest

Is there a function in R that returns the complex conjugate of a matrix (a la 'CONJ' in IDL or 'Conjugate' in Mathmatica)?

Hi, Man page for 'convolve' says: conj: logical; if 'TRUE', take the complex _conjugate_ before back-transforming (default, and used for usual convolution). The complex conjugate of 'x', of 'y', of both? In fact it seems that it takes the complex conjugate of 'y' only which is OK but might be worth mentioning because (1) conj=TRUE is the

Greetings I have been experimenting with sampling from posterior distributions using R. Assume that I have the following observations from a normal distribution, with an unscaled joint likelihood function: normsamples = rnorm(1000,8,3) joint_likelihood = function(observations, mean, sigma){ return((sigma ^ (-1 * length(observations))) * exp(-0.5 * sum( ((observations - mean ) ^ 2)) / (sigma

Hi, All: Is there a simple way to detect complex conjugates in the roots returned by 'polyroot'? The obvious comparison of each root with the complex conjugate of the next sometimes produces roundoff error, and I don't know how to bound its magnitude: (tst <- polyroot(c(1, -.6, .4))) tst[-1]-Conj(tst[-2]) [1] 3.108624e-15+2.22045e-16i

Hello! I have a matrix with data and a column indicating whether it is censored or not. Is there a way to apply weibull and exponential maximum likelihood estimation directly on the censored data, like in the paper: Backtesting Value-at-Risk: A Duration-Based Approach, P Chrisoffersen and D Pelletier (October 2003) page 8? The problem is that if I type out the code as below the likelihood

Hi... I've been fighting this for a while now, trying clean builds of Asterisk 1.14.18, 1.14.19rc3, and then 1.6 Beta 6 today. No workee. :-( Here's the results for various calls made off-hook (push the blue Speakerphone button on the Polycom 430): 988852700 - Phone waits for me to either hit the soft-key "Send" or "EndCall". If I hit "Send",

<digitmap =20 dialplan.digitmap=3D"[2-9]11|0T|011xxx.T|[0-1][2-9]xxxxxxxxx|[2-9]xxxxxxx= x x|[2-9]xxxT" dialplan.digitmap.timeOut=3D"3|3|3|3|3|3"/> Don't think it's been modified from the original supplied. ...brig -----Original Message----- From: asterisk-users-bounces at lists.digium.com [mailto:asterisk-users-bounces at lists.digium.com] On Behalf

To add to the wish-list for "convolve": For modeling processes that decay exponentially in time, e.g., fluorescence, it is desirable to have a function that convolves an arbitrary vector with an exponential using an iterative method. In the TIMP package (which won't be on CRAN till R 2.5.0 is official, but is for now at www.nat.vu.nl/~kate/TIMP) we implemented this special-purpose

---------------------- Forwarded by Paul W Blackman/UC/CRCFE on 18/02/98 16:41 --------------------------- volker_borchert@teknon.de on 13/02/98 04:21:54 To: ictinus@lake.canberra.edu.au cc: (bcc: Paul W Blackman/UC/CRCFE) Subject: Samba FAQ 3.8 - stale href link Hi Paul, I recently installed Samba and promptly stumbled over the NT 4.0sp3 password problem. Of course, being mainly a

Hi, I'm very interested in using the constrOptim() function currently in the R-devel sources. In particular, I'm trying to fit point process conditional intensity models via maximum likelihood. However, I noticed that the gradient of the objective function must be supplied for all but the Nelder-Mead method. I was wondering why this was because optim() itself does not require a gradient

I evaluated the Bayes factor in the k=2 allele case with a "triangular" prior under the null as in the example in the help file: HWETriangBF2(nvec=c(88,10,2)) [1] 0.4580336 When I swap the n11 entry and n22 entry of nvec, I received totally different Bayes factor: > > HWETriangBF2(nvec=c(2,10,88)) [1] 5.710153 > In my understanding, defining the genotype frequency as

Just a quickie, Hope I''m not going crazy here but I''m sure I''ve seen a screencast for capistrano recently... maybe posted on a blog somewhere. Can anyone remember where it is? Thanks -henry

Quickie: Does anyone out there have experience with PRI delivery of ANI II information? Specifically, I want to know if it's possible from within Asterisk to know if the inbound call (which may or may not be to an 800 number) came from a payphone or not. I know with some 800 providers it's possible to block inbound calls from payphones (due to the FCC surcharge etc) but was wondering how

Hello LLVM, I'd like to check TSFlags in my AsmBackend code. However AsmBackend objects don't have a reference to MCInstrInfo, which is the only way I've seen to reach TSFlags. A quickie grep shows that none of the existing targets check TSFlags in their AsmBackends. Is there any reason I shouldn't check TSFlags in AsmBackend? If not, what's the best way to go about it?

Good afternoon/morning readers. This is the first time I am trying to run some Bayesian computation in R, and am experiencing a few problems. I am working on a Poisson model for cancer rates which has a conjugate Gamma prior. 1) The first question is precisely how I work out the parameters. #Suppose I assign values to theta with *seq()* *theta<-seq(0,1,len=500)* #Then I try out the

Hi, We (Paul Gilbert and I) have just released a new R package on CRAN called "BB" (stands for Barzilai-Borwein) that provides functionality for solving large-scale (and small-scale) nonlinear system of equations. Until now, R didn't have any functionality for solving nonlinear systems. We hope that this package fills that need. We also have an implementation of the

This is a PAM module that listens for password changes, and will update the MD5 password for a user, in a file that dovecot can read, when the user's password is changed: https://github.com/steinarb/pam_dovecotmd5pwd Caveat emptor! (Works for me...! :-) )

> On Jul 3, 2019, at 4:43 PM, Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > -----Original Message----- > From: David Greene <dag at cray.com> > Sent: Wednesday, July 3, 2019 2:44 PM > To: Krzysztof Parzyszek via llvm-dev <llvm-dev at lists.llvm.org> > Cc: Krzysztof Parzyszek <kparzysz at quicinc.com> > Subject: [EXT] Re:

Another quickie I've long and hard (honest !), but can't find a way to search this ml's archives. How do you do this ? -- Kind regards Julian Robbins