search for: 7.09

Hello, I have a simple (?) simulation problem. I'm doing a simulation with logistic model and I want to reapet it 600 times. The simulation looks like this: z <- 0 x <- 0 y <- 0 aps <- 0 tiss <- 0 for (i in 1:500){ z[i] <- rbinom(1, 1, .6) x[i] <- rbinom(1, 1, .95) y[i] <- z[i]*x[i] if (y[i]==1) aps[i] <- rnorm(1,mean=13.4, sd=7.09) else aps[i] <-

Hallo, I am totally confused why Excel and R give me totally different regression results for the data below. If you know the solution, please enlighten me. In Excel I used LINEST() and Data>Data Analysis>Regression and both (fortunately) gave the same result. The coefficients were: /b0=1.16, b1=0.957, b2=0.024, R2=0.0027, adjusted R2=-0.017/ In R I used

Is anyone using sk98lin Gigabit Ethernet adapters under CentOS 4.x? The version of the driver that ships with CentOS 4.x kernels was too old to support the onboard NICs on some Intel server boards that we recently got, so we installed a newer driver using DKMS. However, we're having problems finding a stable driver to use: the first version that we tried (7.09) gave a kernel panic when I ran

Hi, SQLite3 has a very simple build system, and it comes with an extensive testsuite (over 40000 tests). It hasn't shown any bugs in LLVM, but it is fairly simple to build [even turn off features via -D], and can be CPU intensive. I have integrated SQLite3 into llvm-test's build system, it is too large to send as attachment (784K), you can get it from here:

Duncan, Here are the complete benchmarks rerun against gcc 4.5.4 built with... Using built-in specs. COLLECT_GCC=gfortran-fsf-4.5 COLLECT_LTO_WRAPPER=/sw/lib/gcc4.5/libexec/gcc/x86_64-apple-darwin11.0.0/4.5.4/lto-wrapper Target: x86_64-apple-darwin11.0.0 Configured with: ../gcc-4.5.4/configure --prefix=/sw --prefix=/sw/lib/gcc4.5 --mandir=/sw/share/man --infodir=/sw/lib/gcc4.5/info

Dear R users, I try to write an rcode for a paranetric weibull model with unobserved heterogeneity. The data I have are giuven below. ( The data comes from Keiding and Klein artricle published in the Statistics in Medicine 1996) . While the simple weibull model runs perfectly ( I get -2*loglikelihood 1093,905), the weibull frailty model does not run well. The code I write is :

I just installed CentOS 5.4 64 bit release on a 1.9ghz CPU with 8gB of RAM. It has 2 Western Digital 1.5TB SATA2 drives in RAID1. [root at server ~]# df -h Filesystem Size Used Avail Use% Mounted on /dev/md2 1.4T 1.4G 1.3T 1% / /dev/md0 99M 19M 76M 20% /boot tmpfs 4.0G 0 4.0G 0% /dev/shm [root at server ~]# Its barebones

On Thu, Jun 09, 2011 at 03:44:40PM +0200, Duncan Sands wrote: > Hi Jack, thanks for doing this. > >> Below are the tabulated compile times and executable sizes. >> >> A) gcc 4.5.4svn using -msse3 -ffast-math -O3 -fno-tree-vectorize >> B) gcc 4.5.4svn/dragonegg using -msse3 -ffast-math -O3 -fno-tree-vectorize -fplugin-arg-dragonegg-enable-gcc-optzns >> C)

Hi Edwin, It works fine for me. Thanks! We prefer a flat directory structure. Is it possible for you to separate it out to sqlite3 and lemon rather than having them as sub- directories under SQLite? Also, can you increase lemon's test size? Please file bug about the performance issue. Thanks! Evan On Mar 22, 2008, at 8:20 AM, Török Edwin wrote: > Hi, > > SQLite3 has a very

Hello, A few questions about the following examples: 1. Why do the two plotting versions not produce the same result? 2. Is the 'scale_x_continuous' (or *_y_* or *_*_discrete) geom the best way to setup grids (as in visual guide-lines) in polar (or for that matter, any) coordinate system? 3. Why do these commands appear to generate 3 plot pages each? 4. Perhaps more questions to follow

I've only begun investigating R as a substitute for SPSS. I have a need to identify for each CASE the closest (or most similar) 5 other CASES (not including itself as it is automatically the closest). I have a fairly large matrix (50000 cases by 50 vars). In SPSS, I can use Correlate > Distances to generate a matrix of similarity, but only on a small sample. The entire matrix can not

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",

Hello list, how could this happen? The Server doesn't respond from time to time with a high load avarage. We found a suspicious smbd process: top - 13:43:07 up 1 day, 2:27, 5 users, load average: 32.49, 58.41, 37.95 Tasks: 1196 total, 5 running, 1190 sleeping, 0 stopped, 1 zombie Cpu0 : 14.7% us, 3.8% sy, 0.0% ni, 79.8% id, 1.3% wa, 0.0% hi, 0.3% si Cpu1 : 1.3% us, 84.6%

I have several rasters that I want to do some calculations ,basically calculating the moving average. dir2 <- list.files("D:\\2010+2011", "*.bin", full.names = TRUE) saf=stack(dir2) movi <- overlay(stack(saf),fun=function(x) movingFun(x, fun=mean, n=3, na.rm=TRUE)) Error in .overlayList(x, fun = fun, filename = filename,

I'll be interested in seeing the improvements. As a reference, this is what I get in an Intel 6700K when I compare gcc 5.4 (Ofast flto) vs published Intel results. 23x in libquantum, and over 40% in many benchmarks. I think that it is mostly from AoS vs SoA and loop transformations. 5.4

On Thu, Jun 09, 2011 at 08:47:26PM -0400, Jack Howarth wrote: > Duncan, > Here are the complete benchmarks rerun against gcc 4.5.4 built with... > > Using built-in specs. > COLLECT_GCC=gfortran-fsf-4.5 > COLLECT_LTO_WRAPPER=/sw/lib/gcc4.5/libexec/gcc/x86_64-apple-darwin11.0.0/4.5.4/lto-wrapper > Target: x86_64-apple-darwin11.0.0 > Configured with:

Hi, I am trying to find m breakpoints of a linear regression model. I used the segmented package. It works fine for small number of predicators and breakpoints.(3 r.v. 3 points). However, my model has 14 variables it even would not work even for just one breakpoints!. The error message is always estimated breakpoints are out of range. Since my problem is time related problem. So I

On Mon, Dec 16, 2013 at 04:16:29PM -0800, Michael Dalton wrote: > Commit 2613af0ed18a ("virtio_net: migrate mergeable rx buffers to page frag > allocators") changed the mergeable receive buffer size from PAGE_SIZE to > MTU-size, introducing a single-stream regression for benchmarks with large > average packet size. There is no single optimal buffer size for all >

On Mon, Dec 16, 2013 at 04:16:29PM -0800, Michael Dalton wrote: > Commit 2613af0ed18a ("virtio_net: migrate mergeable rx buffers to page frag > allocators") changed the mergeable receive buffer size from PAGE_SIZE to > MTU-size, introducing a single-stream regression for benchmarks with large > average packet size. There is no single optimal buffer size for all >

In OLS 2005, we described the work that we have been doing in VMware with respect a common interface for paravirtualization of Linux. We shared the general vision in Rik's virtualization BoF. This note is an update on our further work on the Virtual Machine Interface, VMI. The patches provided have been tested on 2.6.16-rc6. We are currently recollecting performance information for the new