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On 12/09/2011 06:52 PM, wine-users-request at winehq.org wrote: > [...] > 11. Re: Using Todolist (abstract spoon) from Ubuntu 11.10 (DanKegel) > [...] > Message: 8 > Date: Thu, 08 Dec 2011 21:43:52 -0600 > From: "DanKegel"<wineforum-user at winehq.org> > To: wine-users at winehq.org > Subject: [Wine] Re: Using Todolist (abstract spoon) from Ubuntu

On 08.03.20 05:47, Tyler Sanderson wrote: > Tested-by: Tyler Sanderson <tysand at google.com> > > Test setup: VM with 16 CPU, 64GB RAM. Running Debian 10. We have a 42 > GB file full of random bytes that we continually cat to /dev/null. > This fills the page cache as the file is read. Meanwhile we trigger > the balloon to inflate, with a target size of 53 GB. This setup

On 08.03.20 05:47, Tyler Sanderson wrote: > Tested-by: Tyler Sanderson <tysand at google.com> > > Test setup: VM with 16 CPU, 64GB RAM. Running Debian 10. We have a 42 > GB file full of random bytes that we continually cat to /dev/null. > This fills the page cache as the file is read. Meanwhile we trigger > the balloon to inflate, with a target size of 53 GB. This setup

...aybe the issue is really that fill attempts to allocate memory aggressively instead of checking availability. Maybe with deflate on oom it should check availability? > If another inflating > requests is sent to guest when the guest is still under memory > pressure, still no pages will be inflated. Any such changes are hypervisor-visible and need a new feature bit. > Signed-off-by: Wei Wang <wei.w.wang at intel.com> > Cc: Michael S. Tsirkin <mst at redhat.com> > Cc: Tetsuo Handa <penguin-kernel at I-love.SAKURA.ne.jp> > Cc: Michal Hocko <mhocko at kernel.o...

...aybe the issue is really that fill attempts to allocate memory aggressively instead of checking availability. Maybe with deflate on oom it should check availability? > If another inflating > requests is sent to guest when the guest is still under memory > pressure, still no pages will be inflated. Any such changes are hypervisor-visible and need a new feature bit. > Signed-off-by: Wei Wang <wei.w.wang at intel.com> > Cc: Michael S. Tsirkin <mst at redhat.com> > Cc: Tetsuo Handa <penguin-kernel at I-love.SAKURA.ne.jp> > Cc: Michal Hocko <mhocko at kernel.o...

Hi, Dear R-help I know there are some R package to deal with zero-inflated count data. But I am now looking for R package to deal with zero-inflated continuous data. The response variable (Y) in my dataset contains a larger mount of zero and the Non-zero response are quite right skewed. Now what i am doing is first to use a logistic regression on covariates (X) to estima...

Hello, I hope there is a simple explanation for this. I have been using odfWeave with great satisfaction in R 2.5.0. Unfortunately, I cannot get beyond the following error message with a particular file. I have copied and pasted into new files and the same error pops up. It looks like the error is occurring before any of the R code is run (?). Any suggestions on how to track this down and fix

Hello All, Have recently started learning Sweave and Knitr. Am now trying to learn odfWeave as well. Things went pretty smoothly with Sweave and Knitr but I'm having some trouble with odfWeave. My understanding was that odfWeave should work in pretty much the same way as Sweave. With odfWeave, you set up an input .odt file in a folder, run that file through the odfWeave function, and then

...pected to re-start the memory inflating request at a proper time later when the guest has enough memory to inflate, for example, by checking the memory stats reported by the balloon. If another inflating requests is sent to guest when the guest is still under memory pressure, still no pages will be inflated. Signed-off-by: Wei Wang <wei.w.wang at intel.com> Cc: Michael S. Tsirkin <mst at redhat.com> Cc: Tetsuo Handa <penguin-kernel at I-love.SAKURA.ne.jp> Cc: Michal Hocko <mhocko at kernel.org> --- drivers/virtio/virtio_balloon.c | 33 +++++++++++++++++++++++++++++---- 1 file...

On 10.03.20 20:05, David Rientjes wrote: > On Tue, 10 Mar 2020, David Hildenbrand wrote: > >> Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") >> changed the behavior when deflation happens automatically. Instead of >> deflating when called by the OOM handler, the shrinker is used. >> >> However, the balloon is not simply

On 10.03.20 20:05, David Rientjes wrote: > On Tue, 10 Mar 2020, David Hildenbrand wrote: > >> Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") >> changed the behavior when deflation happens automatically. Instead of >> deflating when called by the OOM handler, the shrinker is used. >> >> However, the balloon is not simply

...dy area and each individual has 1-563 cells associated for each year and each season the individual was monitored. Therefore my grid cells are repeated. I end up with 71,000 records and 925 records have a Count value >0; which means 70,075 records have a Count value = 0. I wanted to run a zero inflated poisson model to determine mixed effects (of parameters) with individual as the random effect. But I have been advised two things: 1. I cannot run a zero inflated poisson model because my data are too "extremely" inflated (i.e. 70,075 vs 925) and 2. I cannot run the model with each cel...

Dear list, I am running some zero inflated models and would like to know what the deviance of the models. Unlike running a normal GLM where the deviance is displayed in the summary all that is displayed in a summary of the zero inflated model is the log likelihood. I hope this isn't a read the manual question, and if it is I apologize...

On 05.02.20 17:34, David Hildenbrand wrote: > Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") > changed the behavior when deflation happens automatically. Instead of > deflating when called by the OOM handler, the shrinker is used. > > However, the balloon is not simply some slab cache that should be > shrunk when under memory pressure. The

On 05.02.20 17:34, David Hildenbrand wrote: > Commit 71994620bb25 ("virtio_balloon: replace oom notifier with shrinker") > changed the behavior when deflation happens automatically. Instead of > deflating when called by the OOM handler, the shrinker is used. > > However, the balloon is not simply some slab cache that should be > shrunk when under memory pressure. The

> Subject: Re: [PATCH v2 repost 4/7] virtio-balloon: speed up inflate/deflate > process > > On Wed, Jul 27, 2016 at 09:03:21AM -0700, Dave Hansen wrote: > > On 07/26/2016 06:23 PM, Liang Li wrote: > > > + vb->pfn_limit = VIRTIO_BALLOON_PFNS_LIMIT; > > > + vb->pfn_limit = min(vb->pfn_limit, get_max_pfn()); > > > + vb->bmap_len =

> Subject: Re: [PATCH v2 repost 4/7] virtio-balloon: speed up inflate/deflate > process > > On Wed, Jul 27, 2016 at 09:03:21AM -0700, Dave Hansen wrote: > > On 07/26/2016 06:23 PM, Liang Li wrote: > > > + vb->pfn_limit = VIRTIO_BALLOON_PFNS_LIMIT; > > > + vb->pfn_limit = min(vb->pfn_limit, get_max_pfn()); > > > + vb->bmap_len =

Dear list, dear Max, I a currently working on a report. I'm writing it with OpenOffice.org and odfWeave. I'm working increentally : I write a bit, test (interactively) some ideas, cutting-and-pasting code to the Ooo report when satisfied with it. I the process, I tend to recompile the .odt source a *lot*. Suddenly, odfWeave started to give me an incomprehensible error even before

...ntensity and chick size (defined as CAPI). Intensity is a count and clearly overdispersed, with way too many zeroes. I'm interested in looking at the association between these two variables, i.e. how well does chick size predict tape intensity? Since I have a small sample size, I fit a zero inflated negat. Binomial (not Poisson) model using the "pscl" package. I built tried two models and got the outputs below. > model <- zeroinfl(Int_Cesto ~ CAPI, dist = "negbin", EM = TRUE) Call: zeroinfl(formula = Int_Cesto ~ CAPI, dist = "negbin", EM = TRUE) Co...

...at collection unit. It is possible that zero animals are collected in that unit because of very low densities, but also because of climatic conditions (wind, rain, etc), so we would expect an excess in zeroes. I have tested that the data are overdispersed (variance much bigger than mean), so a zero-inflated negative binomial model seems the most suitable model in this case. To be sure, I will compare the zero-inflated model to the standard binomial model using the vuong test. The models will be made for each species separately. For these models I can use the glm.nb(), and the and zeroinfl () in the pa...