similar to: replication of latin squares --- again

Dear all, I have a 4x4 latin square replicated 3 times. That is: operators batches 1 2 3 4 1 A B C D 2 B C D A 3 C D A B 4 D A B C operators batches 1 2 3 4 5 A B C D 6 B C D A 7 C D A B 8 D A B C operators batches 1 2 3 4 9 A B C D 10 B C D A 11 C D

I am trying to understand better an analysis mean RT in various conditions in a within subjects design with the overall mean RT / subject as one of the factors. LME seems to be the right way to do this. using something like m<- lme(rt~ a *b *subjectRT, random= ~1|subject) and then anova(m,type = "marginal"). My understanding is that lme is an easy interface for dummy coding

From: lamac_k em hotmail.comTo: r-help-request em r-project.orgSubject: sub-plot in a plotDate: Mon, 28 Jan 2008 15:43:40 +0000 Dear all, how can I do these sub-plots in a plot (see file attached) in R. Best regards. Receba GR?TIS as mensagens do Messenger no seu celular quando voc? estiver offline. Conhe?a o MSN Mobile! Crie j? o seu!

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Dear all, Is there an R equivalent to SAS's proc format? Best regards J. Lamack _________________________________________________________________ O Windows Live Spaces ? seu espa?o na internet com fotos (500 por m?s), blog e agora com rede social http://spaces.live.com/

Dear all, is it possible create, automatically, a variable with all the Monday and Thursday? 18/02/2008 21/02/2008 25/02/2008 28/02/2008 03/03/2008 . . for all months Best regards JL _________________________________________________________________ Confira v?deos com not?cias do NY Times, gols direto do Lance, videocas[[elided Hotmail spam]]

Dear all, there is an R function that return all possible samples of size n, with replacement, from a vector of length N ? Best regards

Hi all, The package crossdes could contruct a complete sets of mutually orthogonal latin squares. The construction works for prime powers only. I hope to know whether there is a way to construct a mutually orthogonal Lation square for 10 or other numbers that could not be prime powers. Thanks for any suggestions. Best wishes, Jinsong Zhao

Dear All, I need to calculate the variance components in a mixed effect model (one fixed and one random effect) with REML (maximizing the proportion of the likelihood that does not depend on the fixed effects). In S+ there is the varcomp function, but I would like to do it in R. Is there a way to do that? Thanks! Katalin ___ Katalin Csillery Division of Biological Sciences University of

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Hi, I'm still having problems putting the variance components of my model in to a data frame, it is a continuation of this discussion, http://r.789695.n4.nabble.com/ANOVA-problem-td4609062.html, but now focussed on the problem of extracting variance components. I have got my mixed effects model now /narrow$line<-as.factor(narrow$line) rg.lmer <- lapply(split(narrow,

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Hello, I am trying to use varcomp to decompose the variance across multiple nested levels on a lme object. I am able to successfully do this and when I view the varcomp object I can see the individual values / estimates for the variance at different levels. However, I want to be able to extract each of them separately, as I need to build a confidence interval using bootstrapping on the sample

dear all, How can I compare regression coefficients across three (or more) groups? Thank you very much

Hello, I have some data covering contaminant concentrations in fish over a time period of ~35 years. Each year, multiple samples of fish were taken (with varying sample sizes each year). Ultimately, I want an estimation of the variance between years, and the variance within years + random effects. I used a linear mixed model to estimate these variances, but after reading a number of different

Dear List, Is there a way to extract variance components from lmeObjects or summary.lme objects without using intervals()? For my purposes I don't need the confidence intervals which I'm obtaining using parametric bootstrap. Thanks, Mike [[alternative HTML version deleted]]

Hi, I'm trying to fit a model using variance components in R, but if very new on it, so I'm asking for your help. I have imported the SPSS database onto R, but I don't know how to convert the commands... the SPSS commands I'm trying to convert are: VARCOMP RATING BY CHAIN SECTOR RESP ASPECT ITEM /RANDOM = CHAIN SECTOR RESP ASPECT ITEM /METHOD = MINQUE (1) /DESIGN

I am trying to use varcomp to obtain the variance partitioning across different nested levels of random effects (say x,y and z). I get the three variance components (for each of my along with an additional one called 'within' from varcomp output. I am using the 'scale total variance to 1' option and though the within component is small, it does form a part of what explains the

Hi try str(varcompobject) to see structure of this object. You can extract parts by standard R means. Cheers Petr > -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Sharada > Ramadass > Sent: Tuesday, August 8, 2017 3:33 PM > To: r-help at r-project.org > Subject: [R] how to extract individual values from varcomp? > >