Glance at the fit of your models
In this exercise you will use glance()
to calculate how well the linear models fit the data for each country.
This exercise is part of the course
Machine Learning in the Tidyverse
Exercise instructions
- Append a column (
fit
) containing the fit statistics for each model to thegap_models
data frame and save it asmodel_perf_nested
. - Simplify this data frame using
unnest()
to extract these fit statistics of each model and save it asmodel_perf
. - Finally, use
head()
to take a peek atmodel_perf
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Extract the fit statistics of each model into data frames
model_perf_nested <- gap_models %>%
mutate(fit = map(model, ~___(.x)))
# Simplify the fit data frames for each model
model_perf <- model_perf_nested %>%
unnest(___)
# Look at the first six rows of model_perf
head(___)