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...Adjusted R-squared: 0.9241 F-statistic: 57.78 on 3 and 11 DF, p-value: 5.082e-07 In the book, the estimates are From this book, mu=33.8 alpha_1=6.017 alpha_2=0.942 beta=0.899 Is it possible to obtain this estimates and their standard errors from the model I fitted? Thanks in advance Tomas Goicoa [[alternative HTML version deleted]]

...X[,-1] |Id ,data = data.frame(yboot,X,Z,barrio)) log.comp[i]<-lme(yboot~X[,-1],data=data.fr,random=Z.block)$logLik } The idea is to add a condition in the loop such that if(condition......) {i<-i-1} and then substitute the "problematic" data by a new one, Many thanks, Tomas Goicoa [[alternative HTML version deleted]]

Dear R-users, I am trying to run some simulations in batch mode. In an older version of the program, I used rterm --vsize=100M --nsize=5000K --restore --save <input file> output file, however, in the new version R 2.2.0 , the parameters vsize and nsize are ignored. I can use the command memory.limit to increase memory, but I am not sure if this corresponds to vsize and nsize.

Dear Prof. Ripley and Christoph, thank you very much for your comments. You have helped me a lot. Thanks, Tomas Goicoa >Dear Prof. Ripley > >Thank you for your email. Yes, this is of course the correct >syntax to save us the extra calculation. And I forgot the >"lower.tail = FALSE" for pf() in my example to obtain the >p-value. > >Thank you for the corrections and > &g...

...eppending" of the level of "nitrogeno"? Is the mean of yield within the first level of "hibrido" an "nitrogeno" different than the mean of yield within the second level of "hibrido" and the third of "nitrogeno"? Thank you very much, Tomás Goicoa [[alternative HTML version deleted]]

Dear R user, I am trying to reproduce the results in Montgomery D.C (2001, chap 13, example 13-1). Briefly, there are three suppliers, four batches nested within suppliers and three determinations of purity (response variable) on each batch. It is a two stage nested design, where suppliers are fixed and batches are random. y_ijk=mu+tau_i+beta_j(nested in tau_i)+epsilon_ijk Here are the

...ttachments are confidential. Any use, co...{{dropped}} > > > > ------------------------------ > > Message: 11 > Date: Fri, 22 Jun 2007 07:35:51 -0500 > From: Frank E Harrell Jr <f.harrell en vanderbilt.edu> > Subject: Re: [R] help on the use of ldBand > To: Tomas Goicoa <tomas.goicoa en unavarra.es> > Cc: r-help en stat.math.ethz.ch > Message-ID: <467BC227.8000701 en vanderbilt.edu> > Content-Type: text/plain; charset=ISO-8859-1; format=flowed > > Tomas Goicoa wrote: > > Hi R Users, > > > > I am trying to use the ld...

Dear R user, I am trying to reproduce the results in Montgomery D.C (2001, chap 13, example 13-1). Briefly, there are three suppliers, four batches nested within suppliers and three determinations of purity (response variable) on each batch. It is a two stage nested design, where suppliers are fixed and batches are random. y_ijk=mu+tau_i+beta_j(nested in tau_i)+epsilon_ijk Here are the