similar to: ddply and nlminb

Hai All, I am Unable set permission from Windows after i update..samba-3.0.14a-1 to samba-3.0.20b-2 the thing is.. it list my all Domain users and groups only in capital letters... Setup is... Windows 2003 as ADS and samba as file server... i have 6TB volumes... my samba server is authenticating to Windows 2003 ADS... but now even as domain Administrator i cant reset.. permission of some

Hai All, I am Unable to connect samba server using hostname the thing is.. its happen only from few windows machine in my network... but they can access the sambe share using IPAddress.. as like all other machine All the other Windows system in my network can access samba share using both... IP Address and Hostname.. This creating a big headache for me..... please suggest some solution to solve

I'm trying to run e2fsck on a ~6TB filesystem which is about 90% full. We're doing backup to disk to this filesystem, and have a number of hard links (link counts up to 90). strace shows: write(1, "Pass 2: Checking ", 17) = 17 write(1, "directory", 9) = 9 write(1, " structure\n", 11) = 11 mmap(NULL, 91574272,

I am using both nlminb and optim to get MLEs from a likelihood function I have developed. AFAIK, the model I has not been previously used in this way and so I am struggling a bit to unit test my code since I don't have another data set to compare this kind of estimation to. The likelihood I have is (in tex below) \begin{equation} \label{eqn:marginal} L(\beta) = \prod_{s=1}^N \int

I have constructed the function mml2 (below) based on the likelihood function described in the minimal latex I have pasted below for anyone who wants to look at it. This function finds parameter estimates for a basic Rasch (IRT) model. Using the function without the gradient, using either nlminb or optim returns the correct parameter estimates and, in the case of optim, the correct standard

dear list, as a part my problem. I have to estimate some parameters using ML estimation. The form of the likelihood function is not straight forward and I had to use a for loop to define the function. I used "optim" to maximise the result but was not sure of the programme. To validate my results, I tried to write a function to obtain the MLE of a bivariate normal in the same manner. On

I've been trying with no success to model mixtures of Gamma distributions using the package flexmix (see examples below). Can anyone help me get it to model better? Thanks very much. -Ben ## ## Please help me get flexmix to correctly model mixtures of ## Gamma distributions. See examples below. ## library('flexmix') ## ## Plot a histogram of dat and the Gamma mixture model given

Hello all, I wanted to get some feedback on this patch for ScalarEvolution. It addresses a performance problem I am seeing for simple benchmark. Starting with this C code: 01: signed char foo(void) 02: { 03: const int count = 8000; 04: signed char result = 0; 05: int j; 06: 07: for (j = 0; j < count; ++j) { 08: result += (result_t)(3); 09: } 10: 11: return result; 12: } I

Dear R-users I'm running a maximum likelihood procedure using the spg package. I'd like to save some output produced in each iteration to a file, but if I put the capture.output() within the function I get the following message; Error in spg(par = startval, fn = loglik, gr = NULL, method = 3, lower = lo, : Failure in initial function evaluation!Error in -fn(par, ...) : invalid argument

--gKMricLos+KVdGMg Content-Type: text/plain; charset=us-ascii Content-Disposition: inline I compiled R 2.3.1 on two SuSE systems. With SuSE 8.2 I got an error which I had not on SuSE 10: /usr/lib/gcc-lib/i486-suse-linux/3.3/../../../../i486-suse-linux/bin/ld: cannot find -lRlapack On both system libRlapack.so is made, but the size is verz different: SuSE 8.2: -rwxr-x--- 1 wf sys

On Sun, Apr 11, 2010 at 4:09 PM, Jeffrey Yasskin <jyasskin at google.com> wrote: > Kenneth Uildriks <kennethuil at gmail.com> wrote: >> As I see it, the context switching mechanism itself needs to know >> where to point the stack register when switching.  The C routines take >> an initial stack pointer when creating the context, and keep track of >> it from

Dear R people I want to contribute a new package (various noncentral hypergeometric distribution functions) using C++, but there are many errors when I try to build even a simple package. Here are the most important errors I have encountered so far: 1. Trying to build the DLL, it can't find some of the include files. I had to make the following change in Makefile and copy some .h files:

I am trying to it a particular nonlinear model common in Soil Science to moisture release data from soil. I have written the function as shown below according to the logist example in Ch8 of Pinheiro & Bates. I am getting the following error (R version 2.1.1) *Error in qr(attr(rhs, "gradient")) : NA/NaN/Inf in foreign function call (arg 1)* Below is the function and data. /#

Kenneth Uildriks <kennethuil at gmail.com> wrote: > As I see it, the context switching mechanism itself needs to know > where to point the stack register when switching.  The C routines take > an initial stack pointer when creating the context, and keep track of > it from there.  If we don't actually need to interoperate with > contexts created from the C routines, we have

Already outdated, but rounded ;) I literally just opened the 5yrs logo, changed the text and then done: inkscape -z -o logo/fish-10yrs.{png,svg} cp {logo,website}/fish-10yrs.svg and then updated the rest of the files. Signed-off-by: Martin Kletzander <mkletzan@redhat.com> --- Makefile.am | 2 + logo/fish-10yrs.png | Bin 0 -> 65790 bytes logo/fish-10yrs.svg |

+CC llvm-dev On Tue, May 8, 2018 at 2:34 AM, Gal Zohar <Gal.Zohar at ceva-dsp.com> wrote: > I noticed that SCEV, when trying to perform strength reduction, doesn’t use > the ability to prove an induction variable does not signed/unsigned wrap due > to infinite loops. > > Is there an easy way to use the isAddRecNeverPoison function when > determining if strength reduction

Hi, I'm trying to fit some data using a logistic function defined as y ~ a * (1+m*exp(-x/tau)) / (1+n*exp(-x/tau) My data is below: x <- 1:100 y <- c(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0, 0,0,0,0,0,1,1,1,2,2,2,2,2,3,4,4,4,5, 5,5,5,6,6,6,6,6,8,8,9,9,10,13,14,16,19,21, 24,28,33,40,42,44,50,54,69,70,93,96,110,127,127,141,157,169,

Hello Sean and Tobias, Sean, Thank you. Could you describe Nick's ideas in few words or give me links to your discussion, so I could adapt my ideas to it. Tobias, Your patch fails on several modules in my benchmark (73 of ~1800 tests). I have sent one as attachment. See statistics files for more details, all the .ll files you could simply find in test-suite object directory (after

Signed-off-by: Scott Seago <sseago at redhat.com> --- AUTHORS | 17 ++++++ README | 10 +++ conf/ovirt-agent | 12 ++++ conf/ovirt-db-omatic | 12 ++++ conf/ovirt-host-browser | 12 ++++