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...e>:1:1: warning: this is the location of the previous definition make[5]: *** [drivers/infiniband/ib_xen_backend/domu_cmd.o] Error 1 make[4]: *** [drivers/infiniband/ib_xen_backend] Error 2 make[3]: *** [drivers/infiniband] Error 2 make[2]: *** [drivers] Error 2 make[2]: Leaving directory `/home/baek/Desktop/xen-smartio.hg/linux-2.6.16-rc3-xen'' make[2]: Entering directory `/home/baek/Desktop/xen-smartio.hg/linux-2.6.16-rc3-xen'' ---------------------------------------------------------------------------------- Strange thing, before i tried to do a make install with all option...

According to Dr. Breiman, the RF should be more accurate method than a single tree. However, the performance of each method seems to depend on the proprotion of outcome variable in my case. My data set is a typical classification problem (predict bad guys). When I ran both of them with different proportion of outcome variables(there's a criterion to measure the degree of bad behavior), I

...n. I invoke celt such as so: celtenc original.wav output.oga I do not see any files being encoded, the wave file is stereo 16 bit at 44.1kHz. Any ideas on why this is not working? I also tried the opus git repo for the latest sources, but that also does not produce an encoded file. Thanks -- -baeksanchang -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.xiph.org/pipermail/opus/attachments/20111117/5545c732/attachment-0002.htm

Hi R-users, I have a problem for updating the estimates of correlation coefficient in simulation loop. I want to get the matrix of correlation coefficients (matrix, name: est) from geese by using loop(500 times) . I used following code to update, nsim<-500 est<-matrix(ncol=2, nrow=nsim) for(i in 1:nsim){ fit <- geese(x ~ trt, id=subject, data=data_gee, family=binomial,

Hi, I have a problem in programming for bootstrapping. I don't know why it show the error message. Please see my code below: #'st' is my original dataset. #functions of 'fml.mlogl','pcopula.fam4','ltd','invltd' are already defined boot.OR<-function(data,i) { E=data[i,] ml1<-glm(c_VAsex90_bf ~ trt,family=binomial,data=E) ml2<-glm(c_VAsex90_bm ~

Hi All, I would like to do double boostrapping to estimate 95% CI coverage. So, I can only need to estimate 95% confidence interval from each bootstrapped sample. Since we don't have a closed form of 95% CI, in order to get 95% CI for each sample, we need to use bootstrapping. For outer bootstrapping, I used boot function in library(boot). How can I add double bootstrap inside the function.

Hello, When wine runs on managed mode, it delegate drawing non-client area(caption, frame-border) to window manager. I found NC_DrawCaption function is not invoked on managed mode. On non-managed mode, that function is invoked. I tried to find routine which determine to draw non-client area according to managed mode setting, but I can't. please give me some hints about that. Thank you.