similar to: Failed Convergence when using mi to generate synthetic data

Hello, I have a general question about combining imputations as well as a question specific to the rms and Hmisc packages. The situation is multiple regression on a data set where multiple imputation has been used to give M imputed data sets. I know how to get the combined estimate of the covariance matrix of the estimated coefficients (average the M covariance matrices from the individual

Hi, I have the following problem- I want to access a list whose elements are imp1, imp2, imp3 etc I tried theusing the paste comand in a for loop see the last for loop below. But I keep calling it df but df = imp1 (for the first run). Any ideas on how I can access the elements of the list? Isaac require(Amelia) library(Amelia) data.use <- read.csv("multiplecarol.CSV", header=T)

Hi, I have recently moved my RoR app on the Heroku platform, and almost everything works fine apart from the videos. It works fine when my app runs in local but not on heroku. This is the error log I''m getting, if anyone knows where it can be coming from: Processing VideosController#new (for IP at 2010-03-20 04:32:09) [GET] Session ID: 6abecf60c3369d7c7029e366bb801e08 Parameters:

I used to have Simple Captcha installed, but since I removed it I got all kinds of problems with login. Processing UsersController#login (for 188.177.122.179 at 2010-09-19 12:21:09) [POST] Parameters: {"commit"=>"OK", "authenticity_token"=>"/ Y0aZETCsMhyI3CkrZJK6O2NaLEoi+LRe8ZuDPWU9kc=",

I am using -mice- for multiple imputation and would like to use the gelman diagnostic in -coda- to assess the convergence of my imputations. However, gelman.diag requires an mcmc list as input. van Buuren and Groothuis-Oudshoorn (2011) recommend running mice step-by-step to assess convergence (e.g. imp2 <- mice.mids(imp1, maxit = 3, print = FALSE) ) but this creates mids objects. How can I

Hi everyone, I have carried out a multiple imputation in R using Amelia II and have created 5 multiply imputed datasets. The purpose of my research is to fit a Poisson Model to the data to estimate numbers of hospital admissions. Now that I have 5 completed datasets and I have to pool all the 5 datasets to get one combined output for a poisson model. I have checked previous queries about

Hello! I get the following message when I run the mi() function from the mi package. Error while imputing variable: c3 , model: mi.polr Error in eval(expr, envir, enclos) : could not find function "c14ordered" Here's the situation: I am running R v. 2.9.2 on Mac OSX v. 10.5.8. I am trying to impute missing data in a data set that I've trimmed down to 302 variables.

I am trying to use the mi package to impute data, but am running into problems with the functions it calls. For instance, I am trying to impute a categorical variable called "min.func." The mi() function calls the mi.categorical() function to deal with this variable, which in turn calls the nnet.default() function, and passes it a fixed parameter MaxNWts=1500. However, as

Hello, I am trying to impute data with the mi() function (mi package) and keep receiving an error message. When imputing the variable, "sex," the mi() function accesses the mi.categorical() function, which then accesses the nnet() function. I then receive the following error message (preceded by my code below): > imputed.england=mi(england.pre.imputed, n.iter=6, add.noise=FALSE)

I'm trying to impute data using the mi package, but after running through almost the entire first round of imputations (which takes quite a while), it throws this error (I'll include the whole output prior to the error for context). Does anyone know what is causing it, or how I can fix it? More specifically, how can I tell what is throwing the error so I know what to fix? Is

For some queries it is complicated to express them directly in SQL. Even more so when they are not hand-written, but generated from something the user entered. Say, the user wants to search for person records where the name contains some string. Now, while the Rails model may have a name attribute, the database table does not. There the name is decomposed into title, firstname, lastname and

On 09/10/2015 17:53, Roman Kagan wrote: > > I really don't like this auto-EOI extension, but I guess that's the > > spec. :( If it wasn't for it, you could do everything very easily in > > userspace using Google's proposed MSR exit. > I guess you're right. We'd probably have to (ab)use MSI for SINT > delivery, though. Not really an issue, as MSI on

Am 09.10.2015 um 16:42 schrieb Paolo Bonzini: > Christian, the question for you is towards the end... [....] > >> --- a/virt/kvm/irqchip.c >> +++ b/virt/kvm/irqchip.c >> @@ -144,11 +144,13 @@ static int setup_routing_entry(struct kvm_irq_routing_table *rt, >> >> /* >> * Do not allow GSI to be mapped to the same irqchip more than once. >> -

On 12/10/2015 10:48, Cornelia Huck wrote: > Going back to Paolo's original question, I think changing the check > to !KVM_IRQ_ROUTING_IRQCHIP makes sense, if I understand the code > correctly. They seem to be the only special one. Great. Roman, Denis, can you do this then? Thanks, Paolo

On Fri, Oct 09, 2015 at 04:42:33PM +0200, Paolo Bonzini wrote: > You need to add SYNIC vectors to the EOI exit bitmap, so that APICv > (Xeon E5 or higher, Ivy Bridge or newer) is handled correctly. You also > need to check the auto EOI exit bitmap in __apic_accept_irq, and avoid > going through kvm_x86_ops->deliver_posted_interrupt for auto EOI > vectors. Something like >

Hello, I'm wondering if anyone has done this before and has any advice, or if anyone in general has ideas about it. I just implemented transmitting synthesized speech (text-to-speech) over Speex (narrowband) in an application. I'm using Swift from Cepstral (http://www.cepstral.com). The voice I'm using is a pretty deep male voice. I'm telling Swift to generate audio at 8khz,

Tom Grandgent wrote: > Have you tried using 16kHz wideband? The sound quality is far superior to > narrowband, IMO, even if you have to turn the VBR quality down (to say, 2) > to save bandwidth. Thanks for the info Tom! Probably narrowband is hurting me, but my system is currently built on that. I want to try to get acceptable performance from narrowband if possible before trying

I used Microsoft text to speech with speex. It sounded reasonably well. I didn't experiment with various quality settings (8KHz, default quality). I was capturing audio from a sound card, not the direct wave data from the TTS engine. .a -----Original Message----- From: speex-dev-bounces@xiph.org [mailto:speex-dev-bounces@xiph.org] On Behalf Of Reed Hedges Sent: Friday, May 26, 2006 7:23 AM

Hi, Merry Christmas to all. :) I have been trying out new 1.2beta3 here and facing some noise problems, (I can't say this is 1.2beta3 problem because I haven't tried out previous version yet) and was wondering if anyone also has faced and solved similar difficulties. When the speex encoding/decoding (wideband) process starts, the voice is crispy clear with almost no noise in the

On Mon, 12 Oct 2015 09:54:41 +0200 Christian Borntraeger <borntraeger at de.ibm.com> wrote: > Am 09.10.2015 um 16:42 schrieb Paolo Bonzini: > > Christian, the question for you is towards the end... > > > > [....] > > > >> --- a/virt/kvm/irqchip.c > >> +++ b/virt/kvm/irqchip.c > >> @@ -144,11 +144,13 @@ static int