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DidierMurilloF / FielDHub

FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
https://didiermurillof.github.io/FielDHub/
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P-Rep Design #42

Open BB1464 opened 9 months ago

BB1464 commented 9 months ago

Good Day All, Please I will like to know if there are any plan to add function to analyze P-Rep Design on this package ?

GregorDall commented 7 months ago

You can design p-rep experiments using this package, for analysis you should have a look at other resources like: https://cran.r-project.org/web/views/Agriculture.html#TrialAnalysis

SchmidtPaul commented 7 months ago

In case you have not already checked it out, I recommend Moehring, J., Williams, E.R. & Piepho, HP. Efficiency of augmented p-rep designs in multi-environmental trials. Theor Appl Genet 127, 1049–1060 (2014). https://doi.org/10.1007/s00122-014-2278-y. It may not have code, but it does give you input on how to build your mixed model.

BB1464 commented 7 months ago

@GregorDall @SchmidtPaul ; Thank you both; I will check it out