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?).
Diese Übung ist Teil des Kurses
Generalized Linear Models in R
Anleitung zur Übung
- 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
.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Convert from the logit scale to a probability
p <- ___
# Simulate a logit
__