similar to: Grand note. You must to read.

The great anticipations are made. The increase is up to 70% last time. (MXXR) is the gainful deal and those who knows it is making money. The drilling achivements of this highly capable oil partnership exceeded all its expectations. Once this fact hits the street there will be no stopping this one. these days it's about 0.022 but we are waiting it to triple. Once the information is made and

The great anticipations are made. The increase is up to 70% last time. (MXXR) is the gainful deal and those who knows it is making money. The drilling achivements of this highly capable oil partnership exceeded all its expectations. Once this fact hits the street there will be no stopping this one. these days it's about 0.022 but we are waiting it to triple. Once the information is made and

The great prognosis are made. The increase is up to 70% recently. (MXXR) is the profitable deal and those who knows it is making money. The drilling results of this highly capable oil partnership exceeded all its expectations. One time this information hits the road there will be no stopping this one. today it's approximately 0.025 but we are waiting it to triple. Once the information is

The great prognosis are made. The increase is up to 70% recently. (MXXR) is the profitable deal and those who knows it is making money. The drilling results of this highly capable oil partnership exceeded all its expectations. One time this information hits the road there will be no stopping this one. today it's approximately 0.025 but we are waiting it to triple. Once the information is

The great anticipations are made. The increase is up to 70% recently. (MXXR) is the lucrative deal and those who knows it is making money. The drilling achivements of this highly capable oil company exceeded all its expectations. Once this fact hits the street there will be no stopping this one. these days it's approximately 0.022 but we are thinking it to triple. Once the information is

The great predictions are made. The increase is up to 70% lately. (MXXR) is the worthwhile deal and those who knows it is making money. The drilling achivements of this highly capable oil company exceeded all its expectations. Once this data hits the street there will be no stopping this one. Right now it's around 0.022 but we are expecting it to triple. Once the news is made and the PR

The great anticipations are made. The increase is up to 70% recently. (MXXR) is the lucrative deal and those who knows it is making money. The drilling achivements of this highly capable oil company exceeded all its expectations. Once this fact hits the street there will be no stopping this one. these days it's approximately 0.022 but we are thinking it to triple. Once the information is

The great predictions are made. The increase is up to 70% lately. (MXXR) is the worthwhile deal and those who knows it is making money. The drilling achivements of this highly capable oil company exceeded all its expectations. Once this data hits the street there will be no stopping this one. Right now it's around 0.022 but we are expecting it to triple. Once the news is made and the PR

Dear R users, I am trying to apply the analysis processed in a paper, on the data I'm working with. The data is: 80 patients for which I have survival data (time - days, and event - binary), and microarray expression data for 200 genes (predictor continuous variables). My data matrix "data.test" has ncol: 202 and nrow: 80. What I want to do is: - run recursive partitioning on

Hi, Back in 2010 I had a problem with 'update.packages()', which I worked around by mapping a drive letter to a UNC path [described in <http://finzi.psych.upenn.edu/Rhelp10/2010-February/229820.html> but my current workaround is assign(".lib.loc", sub("\\\\\\\\Server02/stats", "L:", .libPaths(), ignore.case = TRUE), env=environment(.libPaths))].

Hi everyone, We are looking for some data sets working with relative risk mortality. so, someone know where can I find the data.mgus dataset and the data.mgus? Using 1384 records from Minnesota. This data set are used in the : Robert A. Kyle, Terry M. Therneau, S. Vincent Rajkumar, Janice R. Offord, Dirk R. Larson, Matthew F. Plevak, and L. Joseph Melton III. A long-term study of prognosis in

After reading the scattered documentation and FAQs, it appears that a current release 2.2.4 Samba server can not be a BDC. Furthermore, it appears that the Samba PDC does not implement enough of a true Windows PDC to replace a Windows NT PDC as relates to NT client/server security needs. Will 3.0 Samba servers be a drop in replacement for Windows NT domain servers or can this not be

I'm looking for software that makes plots such as fig 4 (a)-(e), fig 5 anf fig 7 of Gray, Robert, "Flexible Methods for Analyzing Survival Data Using Splines, with Applications to Breast Cancer Prognosis," 1992, J Am Stat Assoc, pp 942-51. In other words, I'm looking for software that takes survival data and a continuous covariate as input and computes a curve giving log hazard

What is the prognosis for being able to install a 64-bit windows guest (of any variety) on an opensolaris host. Don Nichols

Hi, could I get a permission to add to HowTos/MigrationGuide a guide for conversion of RHEL 7 to CentOS 7? For personal reasons, I had to switch my machines from RHEL to CentOS, and I think it would be helpful to have it there. If it is OK to have migration guides for lower versions of RHEL/CentOS, why not 7? OK, here we go: URLBASE=http://mirror.centos.org/centos/7/os/x86_64/Packages

Hi, Back in June I posted the message below, but had no replies. I've made a little progress since then so this is to update anyone interested (!) and to ask for comments. Brief problem statement: Under Windows, some parts of R don't handle UNC paths beginning with backslashes. Specifically a) Sys.glob() fails to find some files breaking (e.g.) Rcmdr plugins

Dear R-help, I have performed a hierarchical clustering on some data that I have and would like to know some nice ways of visualizing it. I have 2 related questions: i) How to color the labels AND the terminal branch of a dendogram? This is my inelegant way of just getting the colored labels. data(iris) # Formatting data into required format ir <- iris[ ,-5] ir.class <- c(

OK, gurus, I've spent the last 2 days crawling through all of the posts and web postings regarding shared folders, and I simply cannot get it to work. I'm sure that there is something simple that I've overlooked, but cannot for the life of me see it :) Here's my current config: # 2.2.9: /etc/dovecot/dovecot.conf # OS: Linux 3.16.0-46-generic x86_64 Ubuntu

Out of curiosity, I'm replacing the JIT with MCJIT on my compiler. As all "external" functions are provided by the language's FFI mechanism, it does MyExecutionEngine->DisableSymbolSearching(); MyExecutionEngine->InstallLazyFunctionCreator(&MyLazyFunctionCreator); which works fine with the JIT. However, MCJIT insists on resolving unknown symbols by searching them

Hi-- While I agree that we cannot agree on the ideal algorithms, we should be taking practical steps to implement microarrays in the clinic. I think we can all agree that our algorithms have some degree of efficacy over and above conventional diagnostic techniques. If patients are dying from lack of diagnostic accuracy, I think we have to work hard to use this technology to help them, if we