Combining models for multiple countries
One important advantage of changing models to tidied data frames is that they can be combined.
In an earlier section, you fit a linear model to the percentage of "yes" votes for each year in the United States. Now you'll fit the same model for the United Kingdom and combine the results from both countries.
Cet exercice fait partie du cours
Case Study: Exploratory Data Analysis in R
Instructions
- Fit a model for the United Kingdom similar to the one you fit for the US and save it as
UK_fit. - Tidy
US_fitinto a data frame calledUS_tidiedand the UK model intoUK_tidied. - Use
bind_rows()fromdplyrto combine the two tidied models, printing the result to the console.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Linear regression of percent_yes by year for US
US_by_year <- by_year_country %>%
filter(country == "United States")
US_fit <- lm(percent_yes ~ year, US_by_year)
# Fit model for the United Kingdom
# Create US_tidied and UK_tidied
# Combine the two tidied models