Format prediction posteriors

Now let's plot some new predictions. In this exercise, we'll predict how popular a song would be that was newly released and has a song_age of 0. We're still predicting popularity from song_age and artist_name. The new_predictions object has already been created and contains the distributions for the predicted scores for a new song from Adele, Taylor Swift, and Beyoncé.

Este exercício faz parte do curso

Bayesian Regression Modeling with rstanarm

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Instruções do exercício

Print the predicted scores from the first 10 iterations of new_predictions.
Convert new_predictions to a data frame and name the columns of the data frame "Adele", "Taylor Swift", and "Beyoncé".
Structure the data in long format, with only two columns: artist_name and predict.
Print the first six rows of the newly structured plot_posterior data frame.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# View new data predictions
___[___:___, ]

# Convert to data frame and rename variables
new_predictions <- ___(new_predictions)
___(___) <- c("___", "___", "___")

# Create tidy data structure
plot_posterior <- ___(new_predictions, key = "artist_name", value = "predict")

# Print formated data
___(plot_posterior)

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