search for: disperses

Hi, I'd like to hear your opinion about the following proposal to make the computation of dispersion in GLMs more flexible. Dispersion is used in summary.glm; the relevant code chunk with the dispersion calculation is listed below (from glm.R): summary.glm <- function(object, dispersion = NULL, correlation = FALSE, symbolic.cor = FALSE, ...) { est.disp <- FALSE df.r <-

Hello! I am trying to get a logic estatement in R using the if function, but it is all the time comming and error, I have tryied different methods but nothing is working the sentence is the following: dispersal[1] <- if (any (relativenes[1] < cost)) ((relativenes[1]- cost)/(relativenes[1]- cost*cost)) else 0 for (i in 2: time){ dispersal[i] <- if (any

Hi , I need some clarification for below error msg in the glustershd.log file. What is this msg? Why is this showing up?. currently using glusterfs 3.10.1 when ever I start write process to volume (volume mounted thru fuse) I am seeing this kind of error and glustershd process consumes some percentage of cpu until write process completes. [2017-08-28 10:01:13.030710] W [MSGID: 122006]

Greetings, I'm posting this OT query here because of out very international membership! In the French sentence "Les taux de tirage sont calcul??s de mani??re ?? ce que la dispersion soit inf??rieure ?? 5 % dans chaque strate." it would seem intended that the "dispersion" is to be calculated in a specific way (unstated) -- otherwise, how to ensure that it shall be

I am using 3.10.1 from which version this update is available. On Tue, Aug 29, 2017 at 5:03 PM, Ashish Pandey <aspandey at redhat.com> wrote: > > Whenever we do some fop on EC volume on a file, we check the xattr also to > see if the file is healthy or not. If not, we trigger heal. > lookup is the fop for which we don't take inodelk lock so it is possible > that the

Following p.206 of "Statistical Models in S", I wish to change the code for summary.glm() so that it estimates the dispersion for binomial & poisson models when the parameter dispersion is set to zero. The following changes [insertion of ||dispersion==0 at one point; and !is.null(dispersion) at another] will do the trick: "summary.glm" <- function(object, dispersion =

I'm confused as to the trustworthiness of the dispersion parameters reported by glm. Any help or advice would be greatly appreciated. Context: I'm interested in using a fitted GLM to make some predictions. Along with the predicted values, I'd also like to have estimates of variance for each of those predictions. For a Gamma-family model, I believe this can be done as Var[y] =

Thanks for reading this email?I found a problem while using Glusterfs? First?I created a Distributed Dispersed volume on three nodes?and Limit the volume capacity use quota command?this volume is auto mounted on /run/gluster/VOLUME_NAME. This volume can be read and written normally? After, I manually mounted the volume in another path to provide data storage of SAMBA and ISCSI services, after

Using the host name of the volume, its related gluster commands can become very slow .For example,create,start,stop volume,nfs related commands. and some time And in some cases, the command will return Error : Request timed out but If using ip address to create the volume. The volume all gluster commands are normal. I have configured /etc/hosts correctly,Because,SSH can normally use the

Whenever we do some fop on EC volume on a file, we check the xattr also to see if the file is healthy or not. If not, we trigger heal. lookup is the fop for which we don't take inodelk lock so it is possible that the xattr which we get for lookup fop are different for some bricks. This difference is not reliable but still we are triggering heal and that is why you are seeing these messages.

Ashish, which version has this issue fixed? On Tue, Aug 29, 2017 at 6:38 PM, Amudhan P <amudhan83 at gmail.com> wrote: > I am using 3.10.1 from which version this update is available. > > > On Tue, Aug 29, 2017 at 5:03 PM, Ashish Pandey <aspandey at redhat.com> > wrote: > >> >> Whenever we do some fop on EC volume on a file, we check the xattr also

On Mon, Jan 15, 2018 at 6:30 PM, ?? <chenxi at shudun.com> wrote: > Using the host name of the volume, its related gluster commands can become > very slow .For example,create,start,stop volume,nfs related commands. and > some time And in some cases, the command will return Error : Request timed > out > but If using ip address to create the volume. The volume all gluster >

Based on this BZ https://bugzilla.redhat.com/show_bug.cgi?id=1414287 it has been fixed in glusterfs-3.11.0 --- Ashish ----- Original Message ----- From: "Amudhan P" <amudhan83 at gmail.com> To: "Ashish Pandey" <aspandey at redhat.com> Cc: "Gluster Users" <gluster-users at gluster.org> Sent: Thursday, August 31, 2017 1:07:16 PM Subject:

Hi userRs! I am trying to fit some GLM-poisson and neg.binomial. The neg. Binomial model is to account for over-dispersion. When I fit the poisson model i get: (Dispersion parameter for poisson family taken to be 1) However, if I estimate the dispersion coefficient by means of: sum(residuals(fit,type="pearson")^2)/fit$df.res I obtained 2.4. This is theory means over-dispersion since

I work with Windows, R 2.4.1. I'm a beginner with R! After doing a Discriminant Function Analysis, I am trying to run manova to get a measure of significance of my lda results. I want to predict groups 1 through 4 using 78 variables (bad group/var ratio, I know, but I'm just exploring the possibilities right now). I've tried with a test matrix and I get my results fine, so I think

Is there anyway to make the lines in the dispersion command come forward in a plot and allow the fill in the dispersion parameter be transparent so all of the lines I am using to note confidence intervals are shown? ------------------------------------------- Joe King, M.A. Ph.D. Student University of Washington - Seattle 206-913-2912 jp@joepking.com

Hi, I would like to obtain the dispersion parameter for a quasipoisson model for later use in calculating QAIC values for model comparison.Can anyone suggest a method of how to go about doing this? The idea I have now is that I could use the residual deviance divided by the residual degrees of freedom to obtain the dispersion parameter. The residual deviance is available in the summary

I have been unsuccessful in extracting the dispersion parameter in SPLUS 6.1 using summary or summary.glm(modelobj$dispersion) from a glm object in which the family was set to quasi. This is the syntax given in the manual. I want to write a script to bootstrap the estimate of the dispersion parameter, but cannot seem to access that value. Any suggestions? Thanks, Ed ----------

Dear R users, I would like to fit a glm with Poisson distribution and log link with a known dispersion parameter. I do not want to estimate the dispersion parameter. I know what it is, so I simply want to fix it at a constant for this and other models to follow. My simple, no covariate model is: Tall.glm<-glm(Seedling~1, family=poisson, offset(log(area)), data=tallPSME.df) I want to

Hi All, could someone shed some light on what the difference between the estimated dispersion parameter that is supplied with the GLM function and the one that the 'gamma.dispersion( )' function in the MASS library gives? And is there consensus for which estimated value to use? It seems that the dispersion parameter that comes with the summary command for a GLM with a Gamma dist. is