similar to: Question on statistics

Hi, Can anyone help me with the following. I have been using R for Monte Carlo simulations and got some results I couldn't explain. Therefor I performed following short test: -------------- mean.sds <- NULL sample.sizes <- 3:30 for(N in sample.sizes){ dum <- NULL for(I in 1:5000){ x <- rnorm(N,0,1) dum <- c(dum,sd(x)) } mean.sds<- c(mean.sds,mean(dum)) }

Hi, I want to determine the confidence interval on the sum of two sigma's. Is there an easy way to do this in R? I guess I have to use some sort of chisquare convolution algorithm??? Thanx, Roy -- The information contained in this communication and any atta...{{dropped}}

Hello, Can anyone tell me how to change the default directory in RGui for windows NT? Thanx, Roy

Full_Name: roy kuraisa Version: 2.2.1 OS: Windows XP SP2 Submission from: (NULL) (155.91.28.232) When loading a library from network share drive (e.g., \\nnn\f1\f2\p1), when First.lib is called, the libray name contains "/" instead of "\" resulting in an invalid Windows filepath. Here's an example: >From R, >

What would be nice is to have something like a "robust" task view... Andy From: Berton Gunter > > Many thanks for this Martin. There now are several packages > with what appear to be overlapping functions (or at least > algorithms). Besides those you mentioned, "robust" and > "roblm" are at least two others. Any recommendations about > how or

I was wondering, whether there is a way to have statistical significance test for cluster agreement. I know that I can use classAgreement() function to get Rand index, which will give me some indication whether the clusters agree or not, but it would be interesting to have a formal test. Thanks.

I'm just starting to learn to use R, and although I'm seeing lots of functions aimed at doing orthodox statistical analyses, I don't see the same for Bayesian analyses. What support does R have for Bayesian statistics?

Hi, I am wondering whether anyone of you already implemented in R or S+ the methods of estimation the parameters of stable distribution. If there is, i will be happy to get the copy of the codes. Regards Dedi

Dear Siegfried, I believe your boss is wrong saying that: >He also tried to explain me that the monthly means >(based on the daily measurements) must follow a >log-normal distribution too then over the course of a year. every statistician know that increasing the sample size the sample distribution of the mean is proxy to a gaussian distribution (Central Limit Theorem) independently

Hi, I want to move all the ZFS fs from one pool to another, but I don''t want to "gain" an extra level in the folder structure on the target pool. On the source zpool I used zfs snapshot -r tank at moveTank on the root fs and I got a new snapshot in all sub fs, as expected. Now, I want to use zfs send -R tank at moveTank | zfs recv targetTank/... which would place all zfs fs

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Hello, I am new to R and was wondering if anybody would be able to advice me on the following query. Is there any package available to generate a mixed Poisson process, temporal data, using R? If anybody has accomplished this before or has any advice I would appreciate it. Regards, Elaine Hand -- Elaine Hand Department of Community Health & General Practice Trinity College Dublin

It seems that Tablegen is generating intrinsic ID's off by in DAGISel.inc In DAGISel.inc, I have the following pattern: int64_t CN1 = Tmp0->getZExtValue(); // Pattern: (intrinsic_w_chain:f32 103:iPTR, GPRF32:f32:$src0, GPRF32:f32:$src1, GPRF32:f32:$src2) // Emits: (MACRO_FMA_f32:f32 GPRF32:f32:$src0, GPRF32:f32:$src1, GPRF32:f32:$src2) // Pattern complexity = 8 cost

Hi R, I want to conduct iid tests. So, I went to download 'iid.test' package. And the dependent package is 'ncdf', which is not available. So, how do I conduct the IID tests? Can I do these iid tests in Base R? Thanks in advance, Shubha This e-mail may contain confidential and/or privileged i...{{dropped:12}}

Hello, I am running a few simulations for clinical trial anlysis. I want some help regarding the following. We know trhat as the sample size increases, the variance should decrease, but I am getting some unexpected results. SO I ran a code (shown below) to check the validity of this. large<-array(1,c(1000,1000)) small<-array(1,c(100,1000)) for(i in

On Thu, 2019-02-07 at 21:49 +0000, Joakim Tjernlund via Syslinux wrote: > On Thu, 2019-02-07 at 13:14 -0800, H. Peter Anvin wrote: > > CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you recognize the sender and know the content is safe. > > > > > > On 2/7/19 4:03 AM, Joakim Tjernlund wrote: > > >

Are you using isTarget = 1 in your intrinsics file? On Apr 14, 2009, at 6:34 PM, Villmow, Micah wrote: > It seems that Tablegen is generating intrinsic ID’s off by in > DAGISel.inc > > In DAGISel.inc, I have the following pattern: > int64_t CN1 = Tmp0->getZExtValue(); > > // Pattern: (intrinsic_w_chain:f32 103:iPTR, GPRF32:f32:$src0, > GPRF32:f32:$src1,

Dear members, I was trying to simulate W which is iid and depends on X and Y. Here are 2 methods: Method 1: x<-rnorm(100) y<-rnorm(100) w<-rnorm(100, 2x+y,1) Method 2: x<-rnorm(100) y<-rnorm(100) w<-2x+y+rnorm(100,0,1) Are these methods comparable? Since x and y are vectors, the term 2x+y would return a vector. It seems that, given Method 1, each element of W would

Hi, I am trying to parameterize the following mixed model (following Piepho and Ogutu 2002), to test for a trend over time, using multiple sites: y[ij]=mu+b[j]+a[i]+w[j]*(beta +t[i])+c[ij] where: y[ij]= a response variable at site i and year j mu = fixed intercept Beta=fixed slope w[j]=constant representing the jth year (covariate) b[j]=random effect of jth year, iid N(0,sigma2[b]) a[i]=random