Re: [R] Variance Components in R

@stat.math.ethz.ch *Subject:* Re: [R] Variance Components in R I am trying to replicate Finn and Kayandé (1997) study on G-theory application on Marketing. The idea is to have people evaluate some aspects of service quality for chains on different economy sectors. Then, conduct a G-study

Re: [R] Variance Components in R

Of *Iuri Gavronski *Sent:* Thursday, August 17, 2006 1:26 PM *To:* Doran, Harold *Cc:* r-help@stat.math.ethz.ch *Subject:* Re: [R] Variance Components in R I am trying to replicate Finn and Kayandé (1997) study on G-theory application on Marketing. The idea is to have people evaluate some aspects

Re: [R] Variance Components in R

for your study? From: [EMAIL PROTECTED][mailto:[EMAIL PROTECTED] On Behalf Of IuriGavronski Sent: Thursday, August 17, 2006 1:26 PM To:Doran, Harold Cc: r-help@stat.math.ethz.ch Subject: Re:[R] Variance Components in R I

Re: [R] Variance Components in R

? From: [EMAIL PROTECTED][mailto:[EMAIL PROTECTED] On Behalf Of IuriGavronski Sent: Thursday, August 17, 2006 1:26 PM To:Doran, Harold Cc: r-help@stat.math.ethz.ch Subject: Re:[R] Variance Components in R I am trying

Re: [R] Variance Components in R

:[EMAIL PROTECTED] *On Behalf Of *Iuri Gavronski *Sent:* Thursday, August 17, 2006 1:26 PM *To:* Doran, Harold *Cc:* r-help@stat.math.ethz.ch *Subject:* Re: [R] Variance Components in R I am trying to replicate Finn and Kayandé (1997) study on G-theory application on Marketing. The idea

Re: [R] Variance Components in R

Thank you for your reply. VARCOMP is available at SPSS advanced models, I'm not sure for how long it exists... I only work with SPSS for the last 4 years... My model only has crossed random effects, what perhaps would drive me to lmer(). However, as I have unbalanced data (why it is normally

Re: [R] Variance Components in R

@stat.math.ethz.ch Subject: Re: [R] Variance Components in R Thank you for your reply. VARCOMP is available at SPSS advanced models, I'm not sure for how long it exists... I only work with SPSS for the last 4 years... My model only has crossed random effects, what perhaps would drive me to lmer

Re: [R] Variance Components in R

. This will give you many examples. vignette('MlmSoftRev') From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Iuri Gavronski Sent: Thursday, August 17, 2006 11:16 AM To: Doran, Harold Subject: Re: [R] Variance Components

Re: [R] Variance Components in R

To: Doran, Harold Subject: Re: [R] Variance Components in R 9500 records. It didn`t run in SPSS or SAS on Windows machines, so I am trying to convert the SPSS script to R to run in a RISC station at the university. On 8/17/06, Doran, Harold

Re: [R] Variance Components in R

examples. vignette('MlmSoftRev') -- *From:* [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] *On Behalf Of *Iuri Gavronski *Sent:* Thursday, August 17, 2006 11:16 AM *To:* Doran, Harold *Subject:* Re: [R] Variance Components in R 9500 records. It didn`t run in SPSS

Re: [R] Variance Components in R

PROTECTED] On Behalf Of Iuri Gavronski Sent: Thursday, August 17, 2006 1:26 PM To: Doran, Harold Cc: r-help@stat.math.ethz.ch Subject: Re: [R] Variance Components in R I am trying to replicate Finn and Kayandé (1997) study on G-theory

Re: [R] Variance Components in R

I used SPSS over 25 years ago, but I don't recall ever fitting a variance components model with it. Are all your random effects nested? If they were, I would recommend you use 'lme' in the 'nlme' package. However, if you have crossed random effects, I suggest you try 'lmer' associated

[R] Variance Components in R

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

Re: [R] Variance components from lm?

In any case, the question was about lm, not lme. The short answer is that this is easiest from aov, a wrapper for lm, and for balanced data will be equivalent to as using lme. Steve can find worked examples for interlaboratory data in MASS (the book, see the FAQ). On Thu, 14 Jul 2005, Spencer

[R] Variance components from lm?

I often use simple nested random-effect models for interlaboratory data. The variance components are important things to know. Is there an R function or package that gets variance components from lm objects? Or can someone point me to a method of doing so?

Re: [R] Variance components from lm?

Under normal circumstances, 'RSiteSearch(variance components)' would likely identify lme in package nlme and lmer in package lme4. I recommend lme, as it comes with a fairly complete set of helper functions described in Pinheiro and Bates (2000) Mixed-Effect Models in S and S-Plus

Re: [R] Variance components from lm?

From: Spencer Graves Under normal circumstances, 'RSiteSearch(variance components)' would likely identify lme in package nlme and lmer in package lme4. I recommend lme, as it comes with a fairly complete set of helper functions described in Pinheiro and Bates (2000)

Re: [R] Variance components from lm?

Yes, I'm very thankful for the support of Prof. Jonathan Baron and all the others who have contributed their time, creative energies and (for some) money to make R what it is today. It is beyond the budgets of most people on this planet to purchase licenses for every piece of

[R] variance components

Which possibilities are there in R for estimation of Variance components? Jörg Peter Baresel Technische Universität München Lehrstuhl für Pflanzenbau und Pflanzenzüchtung D-85354 Freising Lange Point 51 [[alternative HTML version deleted]]

RE: [R] variance components

Baresel [mailto:[EMAIL PROTECTED] Sent: Wednesday, September 03, 2003 9:12 AM To: r-help Subject: [R] variance components Which possibilities are there in R for estimation of Variance components? Jörg Peter Baresel Technische Universität München Lehrstuhl für Pflanzenbau und Pflanzenzüchtung D

Re: [R] Variance Components

lme in library(nlme) is vastly superior in many ways to varcomp, but has the disadvantage of being difficult to use, at least in my experience. When I need it, I also refer to José C. Pinheiro and Douglas M. Bates (2000) Mixed-effects models in S and S-PLUS (NY: New York : Springer). I