Multiple Linear Regressions in R (Bonus: Summary Table)

Group Split & Map are SECRET TOOLS in my #dplyr & #tidyverse ARSENAL. Combining them will help us scale up to 15 #LinearRegression Summaries to assess relationship strength & combine in a GT table. Here are the links to get set up 👇

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[grazynaydzinska]

Thank you Matt. This is awesome.

For people who like to take shortcuts:
hwy_vs_city_tbl <- mpg %>%
group_by(manufacturer) %>%
summarise(glance(lm(hwy ~ cty)))

or:
hwy_vs_city_tbl <- mpg %>%
group_by(manufacturer) %>%
do(glance(lm(hwy ~ cty, data = .)))

but note:
mpg %>%
group_by(manufacturer) %>%
summarise(glance(lm(hwy ~ cty, data = .)))
is not correct

[pedroloyola]

Great job Matt. Following the same example, how could you integrate the "predict" function and extract the predicted data? Greetings

[Aditya]

Trying to use this method for my analysis and getting the following error - Error in map(.f = function(df) { :
argument ".x" is missing, with no default. Any idea how could this be resolved?

[emmanuelherrera]

Awesome video Matt. One doubt, what is the difference between group_split and nest_by, in terms of modeling trougth different groups? Regards.

[jamescutler]

I'm browsing through forums to see why when I use the exact same code as you my glance output doesn't include nobs. Someone mentioned this back a couple years ago and it looked like the resulting fix is why I should expect it to have a nobs column today, but for whatever reason it doesn't. Any thoughts? Love your shiny developer with AWS course btw!! Best money I've ever invested in my future.

[jeff]

Apparently I have some setting that is creating an issue when trying to clone the repository as it says SSL certificate problem: unable to get local issuer certificate. How can I get the mpg dataframe?

[jorgeparrales]

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