Exercise

Simulating a logit

Simulations can help us to understand distributions, evaluate our models, and compare study designs. During this exercise, you will simulate a logit distribution. This will allow you to generate data with known parameters. This can be helpful when testing models or comparing study designs (e.g. how many samples do we need to collect?).

Instructions

100 XP

Using the plogis() function, convert 0 on the logit scale to a probability. Save the output as p.
Using the rbinom function, generate 10 samples (n = 10) with a size of 1 (size = 1) using the probability p.