The article you read prior to the session contains accompanying R scripts and CSV data files which you can peruse in the Hallgren2013 folder of this repository. It contains:
Annotated R syntax file for Example 1: "novel question.R"
Annotated R syntax file for Example 2: "power analysis.R"
Annotated R syntax file for Example 3: "bootstrapping.R"
CSV dataset generated in Example 1, which is also used later in Example 2: "novel_question_output.csv"
CSV dataset used in Example 3: "mediation_raw_data.csv"
Depending on the type of simulation that would be useful for you, these articles may be of interest:
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Johnson, P.C.D., Barry, S.J.E., Ferguson, H.M. and Müller, P. (2015). Power analysis for generalized linear mixed models in ecology and evolution. Methods Ecol Evol, 6: 133-142. https://doi.org/10.1111/2041-210X.12306
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Blanco, David, et al (2020). "Effect of an editorial intervention to improve the completeness of reporting of randomised trials: a randomised controlled trial." BMJ open 10.5: e036799. https://doi.org/10.1136/bmjopen-2020-036799
- In the "Power analysis" section, there is a simple example of a power simulation. R code is provided in the supplementary material.
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Getting started simulating data in R: some helpful functions and how to use them. https://aosmith.rbind.io/2018/08/29/getting-started-simulating-data/
- This blog gives a great overview of how to start simulating more complex datasets, including step by step explanations of relevant R functions
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Prive, F., Aschard, H., Ziyatdinov, A. and Blum, M.G.B. (2018). Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr. Bioinformatics, 34(16), 2018, 2781–2787. https://doi.org/10.1093/bioinformatics/bty185
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Ronnegard, L., et al. (2016). Increasing the power of genome wide association studies in natural populations using repeated measures – evaluation and implementation. Methods in Ecology and Evolution 2016, 7, 792–799. https://doi.org/10.1111/2041-210X.12535
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Dalpiaz, D. (2020) Applied Statistics with R, Chapter 7 Simple Linear Regression, section 6 Simulating SLR. https://daviddalpiaz.github.io/appliedstats/simple-linear-regression.html#simulating-slr
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https://cran.r-project.org/web/packages/simstudy/vignettes/simstudy.html
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https://cran.r-project.org/web/packages/simglm/vignettes/tidy_simulation.html