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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

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Anleitung zur Übung

  • 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.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Convert from the logit scale to a probability
p <- ___

# Simulate a logit 
__
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