similar to: Help with gam

From: Uwe Ligges <ligges_at_statistik.tu-dortmund.de <mailto:ligges_at_statistik.tu-dortmund.de?Subject=Re:%20[R]%20Help%20with%2 0gam> > Date: Wed, 11 May 2011 19:08:38 +0200 On 11.05.2011 17:22, Zsolt Macskasi wrote: > Hi, > <http://tolstoy.newcastle.edu.au/R/e14/help/11/05/1036.html#1040qlink1> > I am a brand new user of R and I am trying to use the gam

Hi Zsolt, looking at the metrics from Proxmox it doesn't look like anything breaks there. What about at the operating system level? Could there be some limits there? Have you checked corresponding kernel or system logs? Which OS/distribution are you using? Checked the logs there? If nothing screams there, maybe start looking at a load balancer and scale with several more VMs? -- Marius

A quick Google search indicates that it might be a Proxmox limitation: https://forum.proxmox.com/threads/i-cant-exceed-1gb-of-internet-with-a-10gb-network-card.128710/ On Fri, Mar 15, 2024 at 12:24?PM Marius Flage <marius at flage.org> wrote: > Hi Zsolt, > > looking at the metrics from Proxmox it doesn't look like anything breaks > there. What about at the operating

Dear Marius, In addition to that attached please find a screenshot from Proxmox on statistics. Do you know any ice cast servers that puts out more than 1 gbps for a longer period? Just curious whether anyone was able to go beyond 1 gbps for an extensive time. Thank you! Best, Zsolt zsolt makkai <gvmzsolt at gmail.com> ezt ?rta (id?pont: 2024. m?rc. 14., Cs, 23:39): > Dear Marius,

Hello everyone, I am developing a web app that is being used to track users and their associated events. Events could be like ''getting married'', ''having a baby'', ''buying a car'', etc. and each event has a median age associated with it. For instance the getting married median age is 25. I have the application working with checkboxes where you

Dear Marius, Our station is Megadanceradio in Hungary. Our status page for the master server is: http://45.67.158.93:8000/status.xsl For the slave: http://45.67.158.94:8000/status.xsl We are peaking at around 11.00 am and 13.00 pm in the afternoon. We have tested extensively the bandwith with speedtest. We tried with iperf but that did not finish for a long time so we stopped it. Currently

Dear R users, my dataframe looks like this head(dat) Id sex byear age 1 300 m 2003 50 2 300 m 2003 36 3 402 f 2003 29 4 402 f 2003 21 5 402 f 2003 64 6 150 m 2005 43 ... ...(where Id is just the Identification number of Individual, sex (male or female), byear (=birthyear)) now, I 'd like to add a column, where each Individual gets an automated number starting

I don't know if any such limitation exists, but maxing out just shy of 1Gbps sounds a bit more like an interface's line speed limited/set to 1Gbps somewhere in your production chain? You wrote that you have tested the bw - what did you use? Iperf? Speedtest?Maybe consider scaling with additional Icecast servers and use a load balancer in front? And then just scale accordingly? This sounds

Hello, I would like to install CentOS 7.3 on my new Lenovo M900 machine. I am using the official 1 DVD installer. The installation process was fine without any error but after reboot the USB keyboard and the USB mouse did not work. Therefore I was not able to type anything or pass the first boot screen. Only the power button is working. Any idea why? I believe the installation media is using the

Hi, I have a legacy web site based on ruby on rails 3.0.9 which works just fine with Firefox, chrome and IE 8, but I receive an HTTP 406 error every time when I check the web site with Internet Explorer 9. I narrowed down the problem to the respond_to + format.js + render :update trio, but I did not manage to solve the problem until now. I created a small example for reproduction: The action

Hello, There is a feature of zfs (autoexpand, or zpool online -e ) that it can consume the increased LUN immediately and increase the zpool size. That would be a very useful ( vital ) feature in enterprise environment. Though when I tried to use it, it did not work. LUN expanded and visible in format, but zpool did not increase. I found a bug SUNBUG:6430818 (Solaris Does Not Automatically

I am new to R. I'm using the function GAM and wanted to get standard errors and p-values for the parametric terms (I fitted a semi-parametric models). Using the function anova() on the object from GAM, I only get p-values for the nonparametric terms. Does anyone know if and how to get standard errors for the parametric terms? Thanks. Jean G. Orelien

Recently I was using GAM and couldn't help noticing the following incoherence in prediction: > data(gam.data) > data(gam.newdata) > gam.object <- gam(y ~ s(x,6) + z, data=gam.data) > predict(gam.object)[1] 1 0.8017407 > predict(gam.object,data.frame(x=gam.data$x[1],z=gam.data$z[1])) 1 0.1668452 I would expect that using two types of predict arguments

Dear Icecast, We are operating a web radio on a 10 Gbps dedicated server line. The line bandwidth is tested and available. The web radio is hosted on a Proxmox virtual environment. We own the physical server itself and made sure to have allocated the sufficient amount of resources on the virtual machine. We found that no matter what we do overall upload cannot go over 1 gbps on 1 mount point. It

Qusetion #1 ********* Model selection in GAM can be done by using: 1. step.gam {gam} : A directional stepwise search 2. gam {mgcv} : Smoothness estimation using GCV or UBRE/AIC criterion Suppose my model starts with a additive model (linear part + spline part). Using gam() {mgcv} i got estimated degrees of freedom(edf) for the smoothing splines. Now I want to use the functional form of my model

I would like to request help with the following: I am trying to use a Generalized Additive Model (gam) to examine the density distribution of fish as a function of latitude and longitude as continuous variables, and year as a categorical variable. The model is written as:   gam.out   <-  gam(Density ~ s(Lat) + s(Lon) + as.factor(Year))   The fitted model prediction of the link function is

I'm fitting a Poisson gam model, say model<-gam(a65tm~as.factor(day.week )+as.factor(week)+offset(log(pop65))+s(time,k=10,bs="cr",fx=FALSE,by=NA,m=1),sp=c( 0.001),data=dati1,family=poisson) Currently I've difficulties in obtaining right predictions by using gam.predict function with MGCV package in R version 2.2.1 (see below my syntax).

Hello, in the paper "Avoiding the effects of concurvity in GAM's .." of Figueiras et al. (2003) it is mentioned that in GLM collinearity is taken into account in the calc of se but not in GAM (-> results in confidence interval too narrow, p-value understated, GAM S-Plus version). I haven't found any references to GAM and concurvity or collinearity on the R page. And I

Dear R-users: Im trying (using gam package) to develop a stepwise analysis. My gam object contains five pedictor variables (a,b,c,d,e,f). I define the step.gam: step.gam(gamobject, scope=list("a"= ~s(a,4), "b"= ~s(b,4), "c"= ~s(c,4), "d"= ~s(d,4), "e"= ~s(e,4), "f"= ~s(f,4))) However, the result shows a formula containing the whole

Sometimes, for specific models, I get this error from predict.gam in library mgcv: Error in complete.cases(object) : negative length vectors are not allowed Here's an example: model.calibrate <- gam(meansalesw ~ s(tscore,bs="cs",k=4), data=toplot, weights=weight, gam.method="perf.magic") > test <- predict(model.calibrate,newdata) Error in