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?).
Este exercício faz parte do curso
Generalized Linear Models in R
Instruções do exercício
- Using the
plogis()
function, convert0
on the logit scale to a probability. Save the output asp
. - Using the
rbinom
function, generate 10 samples (n = 10
) with a size of 1 (size = 1
) using the probabilityp
.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Convert from the logit scale to a probability
p <- ___
# Simulate a logit
__