Rsimulation

A QCBS flavored workshop on how to perform simulations in R.

Here is the presentation

All the previous QCBS R workshops give you the building block to do simulations. But knowing how to perform simulations is not a skill that is taught in the current workshops.

This workshop is designed with these learning objectives in mind:

1. Develop intuition and skills to perform simulations;
2. Explore useful functions when designing simulations;
3. Articulate what are the assumptions underlying a simulation (for the models tested or the scope of the simulation);
4. Know how and when to use important statistical distributions;
5. Simulate different data structure to perform LMs, GLMs, and (G)LMMs.

We will also explore:

1. Why are simulations relevant;
2. When could a simulation be useful;
3. How to build some simulation intuitions;
4. What you need to know before doing simulations;
5. What underlies some statistical processes;
6. How to do data simulation for power analysis (in development);
7. How to do data simulation for models (lm, glm, lmm, in development);
8. How to apply simulations framework to explore any process.

Resources

R

• R Gallery Book by Kyle W. Brown

GLM

• An Introduction to Probability and Simulation by Kevin Ross

GLM

• STAT 504 Analysis of Discrete Data 6.1 - Introduction to GLMs
• Using R to make sense of the generalised linear model

Power analysis

• Four part tutorial to conduct power analysis in R
• Power Analysis by Data Simulation in R - Part I
• Power Analysis by Data Simulation in R - Part II
• Power Analysis by Data Simulation in R - Part III
• Power Analysis by Data Simulation in R - Part IV

Development

• Update /opt/homebrew/Cellar/imagemagick/7.1.0-51/bin/convert to what version of imagemagick was installed