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Include your power analysis here (currently the best approach is to take the smallest effect size of interest). Here some resources on power calculations: - [R codes for linear regression models][1] - [An R tutorial][2] - [An R package to simulate data][3] - [Another R package][4] - [G*power software][5] [1]: https://www.willemsleegers.com/posts/simulation-based-power-analyses/ [2]: https://github.com/jessiesunpsych/power-simulations [3]: https://debruine.github.io/faux/ [4]: https://aaroncaldwell.us/SuperpowerBook/ [5]: https://www.psychologie.hhu.de/fileadmin/redaktion/Fakultaeten/Mathematisch-Naturwissenschaftliche_Fakultaet/Psychologie/AAP/gpower/GPowerManual.pdf
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