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:
- 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
- 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.
- 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