similar to: Data Simulation in R

Dear List: I am running into a memory issue that I haven't noticed before. I am running a simulation with all of the code used below. I have increased my memory to 712mb and have a total of 1 gb on my machine. What appears to be happening is I run a simulation where I create 1,000 datasets with a sample size of 100. I then run each dataset through a gls and obtain some estimates. This works

Dear List: First, many thanks to those who offered assistance while I constructed code for the simulation. I think I now have code that resolves most of the issues I encountered with memory. While the code works perfectly for smallish datasets with small sample sizes, it arouses a windows-based error with samples of 5,000 and 250 datasets. The error is a dialogue box with the following: "R

Hello! I''ve put some questions on this list some weeks ago and I''ve got good answers. Thank you! Now I''ve finished my (beautyful) script and I ran it on my router... About my script: It routes packages based on their destination on the Internet. I have about 1650 preffered destination networks listed in some file. The script read this file and marks every package for

Hi guys! I have to compute something and i don't know what i'm doing wrong. my code is a bit complex, but imagine that is something like this: a = c(1,2,3,4) ia = length(a) x = seq(1,100,length=0.1) ib = length(x) int1 = numeric(ib) b = numeric(ib) for(j in 1:ia) { H = function(x) {sin(x + a[j])} for(i in 1:ib) { int = integrate(H, lower = 0, upper

On Feb 11, 2009, at 4:07 AM, Alex wrote: > In my hardware there are two special registers cannot be copied but > can only be assigned and referenced (read) in the other instruction. > They are allocatable also. > > br i1 %if_cond, label %then, label %else > then: > %x1 = fptosi float %y1 to i32 > br label %endif > else: > %x2 = fptosi float %y2 to i32 >

Please start a new thread for a new topic and use a meaningful subject for sake of the archives and everyone trying to follow. Using your Int1, correcting your Int2 and using your Y (which goes to Jul not Aug as per the comment): library(zoo) > as.ts(with(merge.zoo(Int1, Int2, Y, fill = 0), pmax(Int1, Int2))) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1992

In my hardware there are two special registers cannot be copied but can only be assigned and referenced (read) in the other instruction. They are allocatable also. br i1 %if_cond, label %then, label %else then: %x1 = fptosi float %y1 to i32 br label %endif else: %x2 = fptosi float %y2 to i32 br label %endif endif: %x3 = phi i32 [%x1, %then], [%x2, %else] PNE::LowerAtomiPHINode() fails

Hi all, We noticed a lot of unnecessary ptrtoint instructions that stand in way of some of our optimizations; the code pattern looks like this: bb1: %int1 = ptrtoint %struct.s* %ptr1 to i64 bb2: %int2 = ptrtoint %struct.s* %ptr2 to i64 %bb3: %phi.node = phi i64 [ %int1, %bb1 ], [%int2, %bb2 ] %ptr = inttoptr i64 %phi.node to %struct.s* In short, the pattern above arises due to: 1.

On 07.07.2013 01:53, Александр wrote: > В письме от Воскресенье, 30-июн-2013 03:41:37 пользователь Александр написал: >> В письме от Вторник, 25-июн-2013 11:47:10 пользователь Michal Privoznik .... > > i have found source of problem, my code looks like this: > > int count = virConnectListAllDomains(connection, NULL, 0); > .... > domain = virDomainDefineXML(connection,

Hi: I'm trying to estimate a latent variable model in mnl discrete choice framework using R. I need to do first a uni dimensional integral within each observation (row) in the database and then sum over observations. I'm stacked in the point shown below. Apparently I have a dimensionality problem in the definition of the integral. Maybe it does not identify that what I need is only one

Hi, Given test <- matrix(c(1, 1,2,2), 2,2) t <- apply(test, 1, t.test) How can I obtain a table of p-values, confidence interval etc, instead of [[1]] One Sample t-test data: newX[, i] t = 3, df = 1, p-value = 0.2048 alternative hypothesis: true mean is not equal to 0 95 percent confidence interval: -4.853102 7.853102 sample estimates: mean of x 1.5 [[2]]

My general feeling is this: No optimizations should be creating int2ptr/ptr2int. We really need to fix them all. They should use pointer casts and i8* GEPs. This has, unfortunately, been a problem for a long time. As Johannes says, optimizing int2ptr/ptr2int is very tricky. In part, becaue all dependencies, including implicit control dependencies, end up being part of the resulting aliasing

Dear List: I am working to construct a matrix of a particular form. For the most part, developing the matrix is simple and is built as follows: vl.mat<-matrix(c(0,0,0,0,0,64,0,0,0,0,64,0,0,0,0,64),nc=4) Now to expand this matrix to be block-diagonal, I do the following: sample.size <- 100 # number of individual students I<- diag(sample.size) bd.mat<-kronecker(I,vl.mat) This

Dear Sir/madam, I'm getting a problem with a R-code which calculate Fisher Information Matrix for Hybrid Censored Weibull Distribution. My problem is that: when I take weibull(scale=1,shape=2) { i.e shape>1} I got my desired result but when I take weibull(scale=1,shape=0.5) { i.e shape<1} it gives error : Error in integrate(int2, lower = 0, upper = t) : the integral is probably

Hello, I recently came across an OpenCL kernel in which an int vector type was subtracted from the INT_MIN constant, e.g. int2 v2 = INT_MIN - (int2)(0); INT_MIN was defined as #define INT_MIN (-2147483648) Clang in OpenCL modes (-x cl) produces the following error: vector_conversion.c:12:42: error: can't convert between vector values of different size ('long' and 'int2'

Dear List: I am estimating a gls model and am having to make some rather unconventional modifications to handle a particular problem I have identified. My aim is to fit a GLS with an AR1 structure, obtain the variance-covariance matrix (V), modify it as needed given my research problem, and then reestimate the GLS by brute force using matrix operations. All seems to be working almost perfectly,

The structure of the file is clear (see below) the first line is made of integers and doubles with the fifth being a text string followed by arrays of double precision number.: int1 int2 double1 double2 text int3 int4 int5 (array of double) here is an example of file: 1 1 1.0 1.0 "HEAD" 160 224 3 23.4 34.5 ...... I tried to read the first line with readBin (results are copied below):

Hi My test environment : CentOS 6.3 6.4 Ubuntu 13.10 For CentOS 6.4 libvirt-java-0.4.9-1.el6.noarch libvirt-python-0.10.2-29.el6.x86_64 libvirt-client-0.10.2-29.el6.x86_64 libvirt-0.10.2-29.el6.x86_64 I am try to use java bindings to event callback. int register = conn.domainEventRegisterAny(null, 0, cb); But always get the following error message: libvirt: Remote Driver error : adding cb

Hi, I am trying to run some bootstraps with the boot package. When I run it with 400 replicates it does it ok, but then I need to run the same analysis but with 89, 86, 102 and 106 samples (for four different environments), and then is when I get the error message: > mybootstrap <- boot(Datos, mystat, 2000) Error in t.star[r, ] <- statistic(data, i[r, ], ...) : number of items to

On Fri, May 15, 2015 at 5:27 PM, Kaylor, Andrew <andrew.kaylor at intel.com> wrote: > I like the way this sorts out with regard to funclet code generation. > It feels very natural for Windows EH, though obviously not as natural for > non-Windows targets and I think it is likely to block some optimizations > that are currently possible with those targets. > Right, it will