Your analytical toolkit matters very little if the data are no good. Ideally you want to know to how the data were collected before delving into the analysis of the data; better yet, get involved _before_ the collection of data and design its collection. In this post I explore some of the top downloaded R packages for the design of experiments and analysis of experimental data.