similar to: How to get prediction for a variable in WinBUGS?

I?ve been struggling with seemingly ?corrupt? data.frames for a few days, and believe I?ve narrowed the problem down to some odd behaviour from read.table I receive a tab delimited file from an external provider where strings are encoded as =?content?. Not sure why, perhaps as most users open it in Excel. My specific issue is that trailing spaces in any of the strings are causing strange results

Package: xcp-squeezed Version: 1.3.2-9 Severity: important When trying to start a guest I get: # xe vm-start name-label=squeeze-2 The server failed to handle your request, due to an internal error. The given message may give details useful for debugging the problem. message: Failure("The ballooning daemon is not running") If I then manually run "/etc/init.d/xcp-squeezed

Our software utilizes an OS X Server (Snow Leopard 10.6.8) for file read and writes. We gather files out of many directories, process them, and then write files back to the server. We had a long time end user who utilizes our software with an XP box upgrade from XP to Windows 7. Now with Windows 7 the SMBD is crashing routinely under heavy loads. Whatever information it was working

Everyone - What do the NaN's mean here? Is this analysis a problem? Linear mixed-effects model fit by maximum likelihood Data: tmp.dat AIC BIC logLik 1611.251 1638.363 -797.6253 Random effects: Formula: ~1 | group_id (Intercept) Residual StdDev: 0.0003077668 9.236715 Fixed effects: AvgTrials ~ time + factor(group_id) + time * factor(group_id)

Dear list, i'm a new R user, so I apologize if the topic is already being addressed by some other user. I'm trying to determine if the reproductive success of a species of bird is related to a list of covariates. These are the covariates: ? elev: elevation of nest (meters) ? seadist: distance from the sea (meters) ? meanterranova: records of temperature ? minpengS1: records

Dear R users, I'm trying to do betareg on my dataset. Dependent variable is not normally distributed and is proportion (of condom use (0,1)). But I'm having problems: gyl<-betareg(cond ~ alcoh + drug, data=results) Error in optim(par = start, fn = loglikfun, gr = gradfun, method = method, : initial value in 'vmmin' is not finite Why is R returning me error in optim()? What

Hello, I?m trying to configure a CentOS 7 server to act as a host for a bunch of virtual servers (KVM). I have an 802.3ad bonded Ethernet connected to the server with a bunch of tagged VLANs. I want to be able to build a bridge interface on the server for each VLAN and then attach that to the bond interface and the virtual clients. I also want to attach a host interface to one of the VLANs

On Tue, Jul 30, 2019 at 11:54:53AM -0400, Michael S. Tsirkin wrote: > On Tue, Jul 30, 2019 at 05:43:29PM +0200, Stefano Garzarella wrote: > > This series tries to increase the throughput of virtio-vsock with slight > > changes. > > While I was testing the v2 of this series I discovered an huge use of memory, > > so I added patch 1 to mitigate this issue. I put it in this

Hi everybody and sorry by the insistence. Nobody has working Tinc Server over a Raspberry in an environment in production? Best regards and sorry again, Ramses De: Ramses II [mailto:ramses.sevilla at gmail.com] Enviado el: martes, 08 de octubre de 2013 17:59 Para: tinc at tinc-vpn.org Asunto: Tinc Server and Raspberry PI (Rev. B). Dear gentlemen, I need configure a VPN

Hi r-users,   I would like to extract the data that match.  Attached is my data: I'm interested in matchind the value in column 'intg' with value in column 'rand_no' > cbind(z=z,intg=dd,rand_no = rr)             z  intg rand_no    [1,]  0.00 0.000   0.001    [2,]  0.01 0.000   0.002    [3,]  0.02 0.000   0.002    [4,]  0.03 0.000   0.003    [5,]  0.04 0.000   0.003    [6,] 

Full_Name: Adrian Custer Version: 0.90.0 OS: Linux on Thinkpad (pentium) and desktop (K6) Submission from: (NULL) (128.32.251.234) When I create a boxplot, and then try to overlay a lowess fit or just the points, the points do not appear in the highest level and the lowess curve does not reach the highest level. However, if I add one to each of the models, the problem is solved. I tried this

On Wed, Jul 17, 2019 at 01:30:25PM +0200, Stefano Garzarella wrote: > This series tries to increase the throughput of virtio-vsock with slight > changes. > While I was testing the v2 of this series I discovered an huge use of memory, > so I added patch 1 to mitigate this issue. I put it in this series in order > to better track the performance trends. Series: Acked-by: Michael S.

On Tue, Jul 30, 2019 at 05:43:29PM +0200, Stefano Garzarella wrote: > This series tries to increase the throughput of virtio-vsock with slight > changes. > While I was testing the v2 of this series I discovered an huge use of memory, > so I added patch 1 to mitigate this issue. I put it in this series in order > to better track the performance trends. > > v5: > - rebased

This series tries to increase the throughput of virtio-vsock with slight changes. While I was testing the v2 of this series I discovered an huge use of memory, so I added patch 1 to mitigate this issue. I put it in this series in order to better track the performance trends. v5: - rebased all patches on net-next - added Stefan's R-b and Michael's A-b v4:

This series tries to increase the throughput of virtio-vsock with slight changes. While I was testing the v2 of this series I discovered an huge use of memory, so I added patch 1 to mitigate this issue. I put it in this series in order to better track the performance trends. v5: - rebased all patches on net-next - added Stefan's R-b and Michael's A-b v4:

Has anyone programmed condition indexes in R? I know that there is a function for variance inflation factors available in the car package; however, Belsley (1991) Conditioning Diagnostics (Wiley) notes that there are several weaknesses of VIFs: e.g. 1) High VIFs are sufficient but not necessary conditions for collinearity 2) VIFs don't diagnose the number of collinearities and 3) No one has

I have a file: x y z 0.025 0.025 1.65775 0.025 0.050 1.62602 0.025 0.075 1.63683 0.025 0.100 1.91847 0.025 0.125 2.00913 0.025 0.150 1.82222 0.025 0.175 1.70901 0.025 0.200 1.39759 0.025 0.225 1.39089 0.025 0.250 1.04762 If I read the file like this: data<-read.table("file.dat") How do I access the vectors x,y,z that are inside the dataframe data? I studied Venables and

Dear list, I have a dataset containing values obtained from two different instruments (x and y). I want to generate 5 samples from normal distribution for each instrument based on their means and standard deviations. The problem is values from both instruments are non-negative, so if using rnorm I would get some negative values. Is there any options to determine the lower bound of normal

Hi all, I can't find the error in the binomial GLM I have done. I want to use that because there are more than one explanatory variables (all categorical) and a binary response variable. This is how my data set looks like: > str(data) 'data.frame': 1004 obs. of 5 variables: $ site : int 0 0 0 0 0 0 0 0 0 0 ... $ sex : Factor w/ 2 levels "0","1": NA NA NA

Tom Cohen <tom.cohen78@yahoo.se> skrev: Thanks Prof Brian for your suggestion. I should know that for right-skewed data, one should generate the samples from a lognormal. My problem is that x and y are two instruments that were thought to be measured the same thing but somehow show a wide confidence interval of the difference between the two intruments.This may be true that these