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...ct the data included in this string object "x" in order to get the elements for the parameter vector called "alpha0", i.e. -0.638 0.4043 0.0467 0.4043 -2.215 -0.5765 -0.137 501 Any hints how to handle this would be appreciated. Best regards, Christine -- Christine Adrion, Dipl.-Stat., MPH Ludwig-Maximilians-Universitaet Muenchen IBE - Institut fuer Medizinische Informations- verarbeitung, Biometrie und Epidemiologie Marchioninistr. 15 D- 81377 Muenchen Tel.: +49 (0)89 7095 - 4483 eMail: adrion@ibe.med.uni-muenchen.de web: http://ibe.web.med.uni-mue...

Hi R users: Is there a function to obtain the correlation within groups from this very simple lme model? > modeloMx1 Linear mixed-effects model fit by REML Data: barrag Log-restricted-likelihood: -70.92739 Fixed: fza_tension ~ 1 (Intercept) 90.86667 Random effects: Formula: ~1 | molde (Intercept) Residual StdDev: 2.610052 2.412176 Number of Observations: 30 Number

...and therefore the p-value is computed by Monte Carlo simulation with 'B' replicates. But is it also the possible to use an EXACT version of a chisquare goodness-of-fit test without a Monte-Carlo-simulation? How can I calculate this in R? Any hint would be appreciated, Regards, Christine Adrion [[alternative HTML version deleted]]

...e component estimator for level 1 ("Dog"), too? Is it something like this: ICC = (sigma2_RandomSlope-Dog + sigma2_RandomSlope-SidewithinDog) / (sigma2_RandomSlope-Dog + sigma2_RandomSlope-SidewithinDog + sigma2_error) Any hints would be appreciated! Many thanks in advance. Christine Adrion, University of Munich -- View this message in context: http://www.nabble.com/How-to-calculate-Intraclass-coefficient-in-2-level-Linear-Mixed-Effects-models--tp15204786p15204786.html Sent from the R help mailing list archive at Nabble.com.