search for: 2.1e

Hi, I appologise if this is a rudimentary question and long winded but I just wanted to let ye know where I'm comming from. I'm new to R and I'm trying to use the 'randomForest' package to classify and predict. The Error message that is troubling me is: > pr<-predict(predictors,rf1, ext=ext) Error in x[...] <- m : NAs are not allowed in subscripted assignments In

Dear R users I read two csv data files into R and called them Tem1 and Tem5. For the first column, data in Tem1 has 13 digits where in Tem5 there are 14 digits for each observation. Originally there are 'numerical' as can be seen in my code below. But how can I display/convert them using other form rather than scientific notations which seems a standard/default? I want them to be in

Hi guys im having a problem getting R to numerically integrate for some function, say f(bhat)*optimize(G(bhat)), over bhat. Where id like to integrate this over some finite range, so that here as we integrate over bhat optimize would return a different optimum. For instance consider this simple example for which I cannot get R to return the desired result: f <- function(bhat) exp(bhat) g

I keep getting the same error in my survival analysis. I have access to a very large database but am just using small subsets to get some results. In this particular subset there is 50 explanatory variables(both factors of many levels and covariates) and 117 data pieces with some of the data being censored. I am using the stepAIC command to find my model. My initial model is built from all

Hi, I am new to time-dependent Cox model to estimate time dependent hazard ratios. Let me use aml dataset from survival package: > aml3<-survSplit(aml2,cut=c(5,10,20),end="time",start="start", event="status",episode="i") If I want to esimate hazard ratio for each of the time intervals 0-5, 5-10, 10-20 and >=20, would the following calculate

hello R users strange behavior of the integrate function! i assume this occurs because of the way in which the quadriture is set up! (any comments.) f=function(x){exp(-exp(-x)-5*x)/gamma(5)} xx=seq(from=-20, to=20, length.out=1000) plot(xx,f(xx),type="l") integrate(f, lower=-Inf, upper= 1) integrate(f, lower=-Inf, upper= 10) integrate(f, lower=-10, upper= 11) integrate(f,

Hello R-users, I have been trying to fit what I think is a simple mixed-effects model using lmer (from lme4), but I've run into some difficulty that I have not been able to resolve using the existing archives or Pinheiro and Bates (2000). I am measuring populations (of birds) which change with time at a number of different sites. These sites are grouped into regions. Sites are not measured

I am trying to use the survfit() function with the newdata argument to produce predicted survivor curves for a particular covariate profile. The main purpose of the plot will be to visualise the effect of snp1, coded 0 and 1. In my Cox model I have stratified by one variable, edu, and so I know I will automatically get a separate curve for each strata. My problem is how to deal with the

CentOS Errata and Security Advisory CEBA-2005:xxx https://rhn.redhat.com/errata/rhel3as-errata.html The following updated files have been uploaded and are currently syncing to the mirrors: lot of files. Should be rest of the U5-batch. s390: updates/s390/RPMS/MyODBC-2.50.39-12.1.s390.rpm updates/s390/RPMS/am-utils-6.0.9-2.4.s390.rpm updates/s390/RPMS/anaconda-9.1.5.8-1.RHEL.1.centos.s390.rpm

---------------------------- Original Message ---------------------------- Subject: Different results from survreg with version 2.6.1 and 2.10.1 From: nathalcs at ulrik.uio.no Date: Fri, March 19, 2010 16:00 To: r-help at r-project.org -------------------------------------------------------------------------- Dear all I'm using survreg command in package survival.

Hi everybody, I'm trying to fit a Garch(1,1) process to the DAX returns. My data consists of about 2300 10day-logreturns in chronologically descending order (see attachment). But if I use the garch function I get a very high alpha_1 and a quite low beta, which doesn't make that much sense. I think I am missing something, but have no idea what it might be. I'd appreciate it a lot

Dear List, i am trying to produce a 3d plot using wireframe using the code: wireframe(Residuals_FD ~ Elevation * Temperature, data = data2, scales = list(arrows = FALSE), drape = TRUE, colorkey = TRUE) As you can see when the code (using the data below) is run the plot area is set-up correctly but the actual surface is missing? Any help would be greatly appreciated. Chris #data Elevation

In the last step after building and installing binutils 2.21 for ARM and LLVM-src, I am trying to build LLVM-GCC. However, I get the repeated system config checking promt. I used the following configuration:   I created a directory called arm_objects and then I write:   $ ../llvm-gcc-4.2/configure --target=arm-linux --program-prefix=llvm- --prefix=/llv m/arm --enable-pic --disable-optimized

Hello, I am hoping for some advice regarding warning/error messages I received when running a Cox regression # message 1 - obtained while creating a plot of residuals > plot (NV.zph, main = "groupNUSM - UNFIT", var= 'groupNUSM') Warning messages: 1: In approx(xx, xtime, seq(min(xx), max(xx), length.out = 17)[2 * : collapsing to unique 'x' values 2: In

CentOS Errata and Security Advisory CEBA-2005:xxx https://rhn.redhat.com/errata/rhel3as-errata.html The following updated files have been uploaded and are currently syncing to the mirrors: lot of files. Should be rest of the U5-batch. updates/ia64/RPMS/MyODBC-2.50.39-12.1.ia64.rpm updates/ia64/RPMS/am-utils-6.0.9-2.4.ia64.rpm updates/ia64/RPMS/anaconda-9.1.5.8-1.RHEL.1.centos.ia64.rpm

virtqueue_add() populates the virtqueue descriptor table from the sgs given. If it uses an indirect descriptor table, then it puts a single descriptor in the descriptor table pointing to the kmalloc'ed indirect table where the sg is populated. Previously vring_add_indirect() did the allocation and the simple linear layout. We replace that with alloc_indirect() which allocates the indirect

The integral of any probability density from -Inf to Inf should equal 1, correct? I don't understand last result below. > integrate(function(x) dnorm(x, 0,1), -Inf, Inf) 1 with absolute error < 9.4e-05 > integrate(function(x) dnorm(x, 100,10), -Inf, Inf) 1 with absolute error < 0.00012 > integrate(function(x) dnorm(x, 500,50), -Inf, Inf) 8.410947e-11 with absolute error <

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Sorry again, my bad. I actually was using --enable-pics instead of --enable-pic. Now LLVM is being compiled. Hope the last phase llvm-gcc compilation would be a success. Thanks a lot. Akramul --- On Sun, 2/1/11, akramul azim <bijoy123_8 at yahoo.com> wrote: From: akramul azim <bijoy123_8 at yahoo.com> Subject: Re: [LLVMdev] LLVM for ARM target To: "Bill Wendling"

I resurrected these patches after prompting from Andy Lutomirski's recent patches. I put them on the back-burner because vring_bench had a 15% slowdown on my laptop: pktgen testing revealed a speedup, if anything, so I've cleaned them up. Rusty Russell (3): virtio_net: pass well-formed sgs to virtqueue_add_*() virtio_ring: assume sgs are always well-formed. virtio_ring: unify