[This article was first published on R on The broken bridge between biologists and statisticians, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. This posts follows two other previously published posts, where we presented our new ‘lmDiallel’ package (see here) and showed how we can use it to fit the Hayman’s model type 1, as proposed in Hayman (1954) (see here). In this post, we will give a further example relating to another very widespread model from the same author, the Hayman’s model type 2. We apologise for some overlapping with previous posts: we think this is necessary so that each post can be read on its own. The model we are going to talk about is used to describe the results of full (complete) diallel experiments, where we have crosses + reciprocals + selfs. If you are not sure what a diallel experiment is, we suggest you go back to one of our previous posts on this sequence, where we give some preliminary information for beginners. Otherwise, we can proceed to the [...]
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