similar to: a difficulty in boot package

I would like to know whether there is a faster way to do the below operation (updating vec1). My objective is to update the elements of a vector (vec1), where a particular element i is dependent on the previous one. I need to do this on vectors that are 1 million or longer and need to repeat that process several hundred times. The for loop works but is slow. If there is a faster way, please let

Dear R users. Recently I wanted to update my R distribution to the current one (R-2.7.1). I am running a Fedora core 8 distirbution. The installation went fine, but when I tried to add some additional packages the majority made an exit with an error. Only a few least demanding (e.g. RColorBrewer) managed to get through the installation process. What happened between the versions 2.6.x and 2.7.x

Dear all, I was wandering what could be wrong with my system (regularly updated Fedora core 8) so that installing packages does not succeed with almost every package. I follow the procedure specified in the help file R-admin section 6.3. This is not a feature new to the current version but happened (to me) in the previous version as well. Additionally R-help html pages try to follow wrong links

Typo in your OS79XX.TXT P00 ? instead of P0S !? -----Original Message----- From: Michael L?jtnant [mailto:ml@zyxel.dk] Sent: 17 August 2004 13:31 To: asterisk-users@lists.digium.com Subject: Re: [Asterisk-Users] Cisco 7.2 firmware for SIP 7940/7960 released Hi Shaun, Saw you post, and rushed to their ftp-server and downloaded it :-) But, I can't make my phone (7940) upgrade, so maybe you

Hi, I tried to compute maximum likelihood under gamma distribution, using nlm function. The code is this: __BEGIN__ vsamples<- c(103.9, 88.5, 242.9, 206.6, 175.7, 164.4) mlogl <- function(alpha, x) { if (length(alpha) > 1) stop("alpha must be scalar") if (alpha <= 0) stop("alpha must be positive") return(- sum(dgamma(x, shape = alpha, log = TRUE)))

>> 1) a bit in the output is poison if flipping any set of poison bits >> in the >> input may yield different values for the output bit. > > This is the definition I'd expect. > >> For example (bitwise notation): >> ppp * 000 == 000 (since flipping any of the poison bits cannot yield >> a >> result other than zero) >> 00p + 00p == 0pp

As part of carrying out a complicated maximum likelihood estimation, I am trying to learn to program likelihoods in R. I started with a simple probit model but am unable to get the code to work. Any help or suggestions are most welcome. I give my code below: ************************************ mlogl <- function(mu, y, X) { n <- nrow(X) zeta <- X%*%mu llik <- 0 for (i in 1:n) { if

Yeah:) I''d like to work on this. Here are my first observations: - We need to call vdev_op_asize method with additonal ''offset'' argument, - We need to move data to new disk starting from the very begining, so we can''t reuse scrub/resilver code which does tree-walk through the data. Below you can see how I imagine to extend RAIDZ. Here is the legend:

Hello! I need to perform maximum likelihood estimation on R, but I am not sure which command to use. I searched on google, and found an example using the function mlogl, but I couldn't find the package on R. Is there such function? Or how should i perform my mle? Thank you very much. -- View this message in context:

Dear all, I am trying to model number of samples from a given series. The series are modelled according Gamma function. In order to estimate the # samples, I use BIC/AIC with MLE (computed from dgamma function). Here is the code I have. __BEGIN__ mlogl <- function( x_func, theta_func, samp) { # computing log_likelihood return( - sum(dgamma(samp, shape = x_func, scale=theta_func, log

Dear all, I'm using igraph for some analysis about the network I have. I have a question about the function "power.law.fit". I wonder if there is any test for checking whether the "power.law.fit" is good for the input, i.e., under which situation, could we use this function to get a reliable result. I'm afraid even I input a random graph without any property of

Dear list, Does anyone know how to fit the power law distribution? I have the empirical distribution and would like to check whether it fits power law (with the power estimated from the data). Any hints are appreciated Best regards Galina [[alternative HTML version deleted]]

Hi, Thanks everybody that showed up in our talk at the LLVM dev meeting and to those that provided feedback so far. The slides are already online: http://llvm.org/devmtg/2016-11/Slides/Lopes-LongLivePoison.pdf The main question that some people raised was whether we could have bitwise poison instead of value-wise poison, since that semantics seems to be more natural as values continue to be just

I have 4 7960's that I am trying to get working but 2 of them will not update to the SIP image on my tftp server like the first ones did. i keep getting the error on the phone 'Defaulting CM to TFTP server' like it isn't seeing the *.bin on the server. are you supposed to have on of those for each phone? would be like cisco et al to do something like that. TIA Jason Kawakami

I have a second-hand 7960 which I am attempting to upgrade to use a SIP image. The phone currently has a firmware release which doesn't seem to be listed in Cisco docs - P003AM30. On reboot, it finds the tftp server and requests the firmware image listed in OX79XX.txt correctly, displaying "Upgrading Software" on the screen. It then continues to re-request the same image from the

Does anyone know if version 3.1 is Call Manager or SIP? Thanks.

I've got a Cisco 7960 that I'm trying to convert to SIP. Here's what "Firmware Versions" says: App Load ID: P00305000300 Boot Load ID: PC03M030 Version: 5.0(3.0) The files that I have are: P003-07-1-00.sbn P003-07-1-00.bin P0S3-07-1-00.loads P0S3-07-1-00.sb2 If I put "P003-07-1-00" in OS79XX.TXT, the phone tries to tftp XMLDefault.cnf.xml. I've

Inspired by the functions that Barry Rawlingson and Dave Forrest posted for searching Rwiki and R-help archive, I've made up a function that does the search on Prof. Baron's site (Thanks to Prof. Baron's help on setting up the query string!): RSiteSearch <- function(string, restrict="Rhelp", format="long", sortby="score",