Good day, I'm ran aov () and lme() on a split-plot using a 64-bit machine. For aov() I don't see the values for ErrorA, F-value and p-value in the output. For lme(), output is different from results from a 32-bit. Please see codes used and corresponding output. Is my code wrong and/or not sufficient or is this a compatibility issue? ************** model1<-aov(Y~Main*Sub + Error(Block/Main),data=splitplot) anova(model1) Output: Error: Block Df Sum Sq Mean Sq F value Pr(>F) Residuals 1 4.9116 4.9116 Error: Block:Main Df Sum Sq Mean Sq Main 5 27.4793 5.4959 Error: Within Df Sum Sq Mean Sq F value Pr(>F) Main 5 14.35 2.87 1.2704 0.2757 Sub 2 3.89 1.95 0.8620 0.4231 Main:Sub 10 14.77 1.48 0.6541 0.7669 Residuals 408 921.43 2.26 ***************** model1 <- lme(y~Main*Sub, random=~1|Block/Sub,data=splitplot) anova(model1) Output: numDF denDF F-value p-value (Intercept) 1 405 150.84639 <.0001 Main 5 405 3.74269 0.0025 Sub 2 6 0.55782 0.5995 Main:Sub 10 405 0.69772 0.7268 Regards, Emily Emily Deomano Biometrician BSES Limited Postal Address: PO Box 86 Street Address: 50 Meiers Road Indooroopilly QLD 4068 Australia Ph: +61 (0) 7 3331 3306 Mobile: +61 (0) 408 656 452 Fax: +61 (0) 7 38710383 Email: edeomano@bses.org.au<blocked::mailto:jstringer@bses.org.au> Web: www.bses.org.au<http://www.bses.org.au> BSES Limited Disclaimer -------------------------------------------------------------------------------- This email and any files transmitted with it are confide...{{dropped:15}}