Run a linear model
You can use map() to do more than just take the square root of a number or simulate data. You can also use map() to loop over different inputs to run several models, each using the unique values of a given list element. You can also then iterate over the models you've run to create the model summaries and look at the results.
The lists sites and list_of_df are preloaded.
This exercise is part of the course
Foundations of Functional Programming with purrr
Exercise instructions
- Pipe
list_of_dfintomap()along with thelm()linear model function, to compareaas the response andbas the predictor variable.- Use the syntax:
lm(response ~ predictor, data = )
- Use the syntax:
- Then pipe the linear model output into
map()and generate thesummary()of each model.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Map over the models to look at the relationship of a vs. b
___ %>%
map(~ ___(___ ~ ___, data = .)) %>%
map(___)