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...StdDev Corr (Intercept) 36.9390723 (Intr) Time 0.2484113 -0.149 Residual 4.4436052 Fixed effects: weight ~ Time * Diet Value Std.Error DF t-value p-value (Intercept) 251.65165 13.094025 157 19.218816 0.0000 Time 0.35964 0.091140 157 3.946019 0.0001 Diet2 200.66549 22.679516 13 8.847873 0.0000 Diet3 252.07168 22.679516 13 11.114509 0.0000 Time:Diet2 0.60584 0.157859 157 3.837858 0.0002 Time:Diet3 0.29834 0.157859 157 1.889903 0.0606 Correlation: (Intr) Time Diet2 Diet3 Tm:Dt2 Time -0.160 Diet2...

Dear Dr. Bates, and R-help, I've tried the anova function to test the difference between two coefficients, as shown on page 225 of your book "Mixed Effects Models in S and S-Plus (Statistics and Computing)". When I type: anova( fm2BW.lme, L = c(TimeDiet2 = 1, TimeDiet3 = -1) ) I got the following error message: Error: unexpected '=' in "anova( fm2BW.lme, L = c(Time:Diet2 =" Could you tell me whether I miss anything? > sessionInfo() R version 2.6.0 (2007-10-03) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;L...

...9256 120 122.62 1 Diet 3 3 9.26293 7.79675 120 142.95 1 Diet 4 4 12.1593 10.6932 118 135.26 MCMCglmm posterior.mode(BV$Sol[,c(1:7)]) (Intercept) Diet2 37.75653609 1.01085373 Diet3 Diet4 0.98711241 3.99503983 LME4 Estimate Std. Error t value (Intercept) 36.07142 1.23192 29.281 Diet2...

Dear R-help, In nlme package, anova () can be used to test the difference between two coefficients as shown on page 225 of "Mixed Effects Models in S and S-Plus": anova(fm2BW.lme, L = c("Time:Diet2" = 1, "Time:Diet3" = -1)) Now my question is instead of test the difference between two coefficients, can I use anova to test the significance of the sum of two coefficients, like anova(fm2BW.lme, L = c("Time:Diet2" = 1, "Time:Diet3" = 1)) Thanks, Shirley

I have a simple dataset of a numerical dependent Y, a numerical independent X and a categorial variable Z with three levels. I want to do linear regression Y~X for each level of Z. How can I do this in a single command that is without using lm() applied three isolated times? -- View this message in context: http://r.789695.n4.nabble.com/Linear-regression-on-several-groups-tp2322835p2322835.html

...ificant with body mass? >From Pinheiro, J. C. & Bates, D. M. (2000) Fixed effects: weight ~Time * Diet Value St.error DF t-value p-value Intercept 251.60 13.068 157 19.254 <.0001 Time 0.36 0.088 13 4.084 0.0001 Diet2 200.78 22.657 13 8.862 <.0001 Diet3 252.17 22.662 157 11.127 <.0001 TimeDiet2 0.60 0.155 157 3.871 0.0002 TimeDiet3 0.30 0.156 157 1.893 0.0602 As stated by Pinheiro, J. C. & Bates, D. M. (2000), th...

...inheiro, J. C. & Bates, D. M. (2000) > > Fixed effects: weight ~Time * Diet > >? ? ? ? ? ? ? ? ? Value? ? St.error? ? DF? ? t-value? p-value > Intercept? ? 251.60? ? ? 13.068? 157? 19.254? ? <.0001 > Time? ? ? ? ? 0.36? ? ? ? ? 0.088? ? ? 13? ? 4.084? ? 0.0001 > Diet2? ? ? ? ? 200.78? ? ? 22.657? ? 13? ? 8.862? <.0001 > Diet3? ? ? ? ? 252.17? ? ? 22.662? ? 157? 11.127? <.0001 > TimeDiet2? 0.60? ? ? ? ? 0.155? ? 157? ? 3.871? ? ? 0.0002 > TimeDiet3? 0.30? ? ? ? ? 0.156? ? 157? ? 1.893? ? ? 0.0602 > > As stated by Pinheiro, J. C. &amp...

  Hola,   Por favor, ¿podríais indicarme qué recursos (librerías o ideas) pueden resultar de utilidad para crear un gráfico del estilo del de la figura 3.8 del siguiente link?   http://www.tsc.uvigo.es/BIO/Bioing/ChrLDoc3.html#3.5   Actualmente estoy utilizando funciones muy básicas y la verdad es que no me encuentro muy satisfecha con el resultado.   Muchas gracias.   Eva [[alternative HTML