search for: stimations

Hi I have a simple question. I want to run a "n times" a simple linear regession and save beta in a matrix but I´m not able. Imagine: Data.txt is a 10*5 file and want to run 4 different stimations always regressing first column on the rest. So I try this: First I run Data on memory This is my function mrp <- function(){ mr<-matrix(0,4,1) for(i in 1:4) r(i)=lm(dat(,i+1)~dat(,1) mr[i] <- coefficients(r(i))) } I execute mrp usin source file choose option but nothing happens.......

Hi, We're evaluating asterisk, somebody has measured maximum asterisk load (simultaneus calls, calls per seconds...)? Are there any stimation? Thx. Best regards. .G

Hi All I have to run multiple stimations and to compute Likelihhod ratio. If I compute ls function with coef and summary I can extract "outputs" that I need. I am not able to find something similar to log liklihood.... Can you pease tell me running a ls function x on y how to extract if posible LR statitic or Likelihood or Lo...

Hi all, I want to make the following: I want to run a linear regression on each column of a matrix "estima" on the correspondent column on the matrix "estima2". You see I want to regress estima[,1] on estima2[,1] this way to all columns.... At the same time I want to make a regression adding each time a new observation. You see, the first regression will regress only one

Full_Name: Bonnie Version: 1.6.1 OS: Windows Submission from: (NULL) (160.129.25.106) glm() seems to converge, even when it shouldn't. I am trying to fit a model where $converge=FALSE and I am fitting models that do not converge in SAS, but they seem to converge in R ... Thank you.

I'm evaluating CMake (1) primarily as an alternative build system for Visual Studio users, although it can easily be a replacement for `configure' and hand-made makefiles too, providing a single build system for all platforms. CMake is a tool that takes a project description and configures, generates makefiles, project files for IDEs, etc as requested. There are three MS C++ compilers

I am seeking for a method to calculate, given a fitted lme model and some data for a subject, the random effects predictors for this subject. I can only find predictors for the subjects used in creating the fit. Of course I could just add the subject and redo the fit. But I want to avoid just this refitting. Thanks for help wbk

I too have done some work on an alternative build system for llvm. It is based on boost.build. Of course, it's quite a large project and I'm not ready to contribute the work yet. Ideally I was hoping to replace all of makefile functionality with jamfiles. Boost.build is attractive because support for new compilers/tools comes with new releases of boost.build and need not be added

Dear R-community, maybe someone can help me with this: I've been using the loess() smoother for quite a while now, and for the matter of documentation I'd like to resolve the acronym LOESS. Unfortunately there's no explanation in the help file, and I didn't get anything convincing from google either. I know that the predecessor LOWESS stands for "Locally Weighted

Stefanus Du Toit <sdt at rapidmind.com> writes: [snip] > We have considered contributing such a build system, and if we were to > do so would probably base it on SCons (http://www.scons.org/) because > we already use SCons extensively. At first, SCons is what I intended too. But then I read about the KDE experience and took the safe route :-) [snip] > Are you intending

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[Repost: The mailing list was down yesterday. Sorry if this is a duplicate] I'm evaluating CMake (1) primarily as an alternative build system for Visual Studio users, although it can easily be a replacement for `configure' and hand-made makefiles too, providing a single build system for all platforms. CMake is a tool that takes a project description and configures, generates makefiles,