Calculating the posterior difference
The posterior proportion_clicks
for the video and text ad has been put into a single posterior
data frame. The reason for [1:4000]
is because these proportion_clicks
s are not necessarily of the same length, which they need to be when put into a data frame.
Now it's time to calculate the posterior probability distribution over what the difference in proportion of clicks might be between the video ad and the text ad.
This exercise is part of the course
Fundamentals of Bayesian Data Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
posterior <- data.frame(
video_prop = posterior_video$proportion_clicks[1:4000],
text_prop = posterior_text$proportion_click[1:4000])
# Calculate the posterior difference: video_prop - text_prop
# Visualize prop_diff