agricolae package for this: - split block - split plot - strip block look up the methods for these
(and possibly years, but definitely across locations)
barcharts, hist, scatterplot, should allow title changes, color changes
Check whether all factor levels in an interction are there (i.e. table(f1, f2, useNA='ifany') must have no empty cells)
under ANOVA - make it clear that split/strip plot/block is a type of anova
under model check: - check for poisson - check normality? - check full factorial design - check missingness (use complete.cases() to find nrows in analysis vs. nrow data)
Help tab should include information on - selecting a data type for glm
Add an option to use drop1() (or step to do it in the opposite direction) to automatically choose the best fit model. Tell the user to create a saturated model (or do it automatically based on the IVs selected, all interactions) and go from there.
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