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Hello community, A few days ago, I posted about using lmer() to analyze a split split-plot design. The research design is as such: I am interested in the response variable biomass of cover crops. I have the main plots...
Hello R mixed models community, I am trying to fit a model for a split- split-plot design using lmer. I know how to do this with aov and ssp.plot function in agricolae, but I need to use lmer...
Dear Peter, The experiments in each year and location were independent of each other. The equipment used for planting were different for each location (same variety). Cover crops were seeded at the physiological maturity of primary crops in each location...
Dear Peter, Thank you for your reply. I was very concerned with the residual plots as you have advised. The residual plots from the model [model1<- lmer(biomass ~ crop*tillage*cover+(1|rep/crop/tillage), data=data) look extremely heteroskedastic...
Thank you for your suggestion, Guillaume. However, the model you suggest is overparameterized in my case. I don't have enough observations to fit the maximal model. Also regarding blocks as fixed, I would like to make block inferences in...
Dear Peter, Your reply has made my day and very clearly answered the questions I was asking myself for a few weeks. Thank you for correcting my mistakes as well. The lmer() does produce a variance of 0 for random...
Dear Thierry, Thank you for your reply. The link to the file is here <https://drive.google.com/open?id=1sQ0O6FgT5eOQKlhc_ejzfR_wJbRvLzrY>. You advised naming the subplots from 1 to 36. But with 4 replicates, 2 crops and 3...
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