Hi I am working on a Nested one-way ANOVA. I don't know how to implement R code to test the significance of the random factor
My R code so far can only test the fixed factor : anova(lme(PCB~Area,random=~1|Sites, data = PCBdata)) numDF denDF F-value p-value (Intercept) 1 12 1841.7845 <.0001 Area 1 4 4.9846 0.0894 Here is my data and my hand calculation. > PCBdata Area Sites PCB 1 A 1 18 2 A 1 16 3 A 1 16 4 A 2 19 5 A 2 20 6 A 2 19 7 A 3 18 8 A 3 18 9 A 3 20 10 B 4 21 11 B 4 20 12 B 4 18 13 B 5 19 14 B 5 20 15 B 5 21 16 B 6 19 17 B 6 23 18 B 6 21 By hand calculation, the result should be: Source SS DF MS Areas 18.00 1 18.00 Sites 14.44 4 3.61 Error 20.67 12 1.72 Total 53.11 17 --- MSareas/MSsites = 4.99 --- matching the R output MSsites/MSE = 2.10 Conclusion is that Neither of Areas nor Sites make differences. My R code so far can only test the fixed effect : anova(lme(PCB~Area,random=~1|Sites, data = PCBdata)) numDF denDF F-value p-value (Intercept) 1 12 1841.7845 <.0001 Area 1 4 4.9846 0.0894 -- Xiang Gao, Ph.D. Department of Biology University of North Texas ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.