search for: unestimable

Dear All, we have shared a directory which includes several subdirectories from a Unix server. Browsing the subdirectories on an Windows 3.11 Client leads to an unestimated result. All files in the second subdirectory-level are invisible. The files in the first subdirectory-level could be accessed normally. This is only a problem on WfW Clients, browsing the directories on a NT host leads to no

coef() and vcov() have different dimensions if a model contains alised parameters as the following example illustrates. A search on "alised" gave noting as far as I could see. Is this a known bug? Bendix C ---------------------- Bendix Carstensen Senior Statistician Steno Diabetes Center Niels Steensens Vej 2 DK-2820 Gentofte Denmark tel: +45 44 43 87 38 mob: +45 30 75 87 38 fax: +45

Hello R users! I've been experimenting with lmer to estimate a mixed model with a dichotomous dependent variable. The goal is to fit a hierarchical model in which we compare the effect of individual and city-level variables. I've run up against a conceptual problem that I expect one of you can clear up for me. The question is about random effects in the context of a model fit with a

I am fitting models to the responses to a questionnaire that has seven yes/no questions (Item). For each combination of Subject and Item, the variable Response is coded as 0 or 1. I want to include random effects for both Subject and Item. While I understand that the datasets are fairly small, and there are a lot of invariant subjects, I do not understand something that is happening

Hello Folks, Very new to R so bear with me, running 5.2 on XP. Trying to do a zero-inflated negative binomial regression on placental scar data as dependent. Lactation, location, number of tick larvae present and mass of mouse are independents. Dataframe and attributes below: Location Lac Scars Lar Mass Lacfac 1 Tullychurry 0 0 15 13.87 0 2 Somerset 0 0 0

...Graves [mailto:spencer.graves@pdf.com] Sent: Fri 2006-08-04 01:35 To: ESCHEN Rene Cc: Doran, Harold; r-help@stat.math.ethz.ch Subject: Re: [R] Random structure of nested design in lme I'm not familiar with 'aov', but I have two observations that might help you: 1. UNESTIMABLE VARIANCE COMPONENT The variance component 'soiltype' is not estimable in your 'lme' model: lme(NA.1~soiltype*habitat,random=~1|destination/soiltype) That's because each level of 'soiltype' occurs only once within each level of 'destination...