Hi, I am looking at the effect of allelochemicals produced by two freshwater macrophyte species on two different algal species at different days. I am comparing the effect of each macrophyte on each algae at each day. I received help from someone doing the LMEM (Linear mixed-effect models) and he told me to do ANOVA to analyse the LMEM. However, I received these feedback from my examinor;
1. An Analysis of Variance (ANOVA) was used to analyse the LMEM. Comment; Not clear why you used ANOVA here. Was it to compare models? 2.The effects of TREATMENT and TIME and their interaction were all significant (Table 5). Because of the significant interaction, the analysis was split by TIME. Comment; Given that you have interactions, you should do a model selection to show whether the interaction model is in fact more parsimonious. Can someone explain these and tell me how and when should I do model selection? Thanks, F -- View this message in context: http://r.789695.n4.nabble.com/Mixed-effects-models-and-model-selection-tp4637535.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
