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...is private function for removing leading and trailing white spaces from the values.that below function would be called before_save. when i print the value after it strips.it prints string without any spaces.but in the table fields it saves with spaces . waht would be the problem.pls help me class CompanyInfo < ActiveRecord::Base before_save :strip_whitespace def strip_whitespace puts "strip_whitespace" @attributes.each do |attr,value| puts value puts "before strip" value = value.strip puts "after strip" puts value...

...lobal variable 'own.linkinv' make.link.gamlss : mu.eta: no visible binding for global variable 'own.mu.eta' make.link.gamlss : valideta: no visible binding for global variable 'own.valideta' Thanks Mikis Stasinopoulos Companies Act 2006 : http://www.londonmet.ac.uk/companyinfo

Dear all and Mikis I have the opportunity to compare fits with the 'classical' glm and gamlss and no smoother of any kind just the same model formula (both with the binomial family). I get exactly the same coefficients but very different residuals, gamlss giving residuals which are extremely close to 'normal' and glm very far... How can this be ? Thanks in advance for

Hi, I'm a bit puzzled by the gamlss fitting of exponential and lognormal data. Gamlss seems to think that exponentially distributed data fits better with a lognormal distribution, and vice versa. For example, X <- rexp(1000) Gexp <- gamlss(X~1,family=EXP) # X~1 is X tilde 1 GAMLSS-RS iteration 1: Global Deviance = 2037.825 GAMLSS-RS iteration 2: Global Deviance = 2037.825 Glno

...ASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > End of R-help Digest, Vol 128, Issue 29 > *************************************** > Companies Act 2006 : http://www.londonmet.ac.uk/companyinfo [[alternative HTML version deleted]]

Greetings, My question is more algorithmic than prectical. What I am trying to determine is, are the GAM algorithms used in the mgcv package affected by nonnormally-distributed residuals? As I understand the theory of linear models the Gauss-Markov theorem guarantees that least-squares regression is optimal over all unbiased estimators iff the data meet the conditions linearity,

I have a two part question one about statistical theory and the other about implementations in R. Thank you for all help in advance. (1) Am I correct in understanding that Heteroscedasticity is a problem for Generalized Additive Models as it is for standard linear models? I am asking particularly about the GAMs as implemented in the mgcv package. Based upon my online search it seems that some

...s link is not working please cut and paste the link into your browser) If you have received this mailing in error, or do not wish to receive any further mailings from us, simply click here put in your email address and add Remove to the subject line: http://www.drawcard.com/index.cfm?fuseaction=CompanyInfo Damian Andrews MD Drawcard.com Return-Path: <olivier.guillossou@c2a.fr> Delivered-To: samba@lists.samba.org Received: from adequat.c2a.fr (mailhost.c2a.fr [195.25.213.1]) by lists.samba.org (Postfix) with ESMTP id 583194C42 for <samba@lists.samba.org>; Wed, 8 Aug 2001 01:46:09 -0...