Interactivity and Programming in the Tidyverse
summary
Explains concrete tidyverse tools to eliminate data masking surprises and make reusable functions: use .data and .env pronouns to disambiguate column vs workspace names, use {{ }} tunneling (curly-curly) to forward a data variable through a function argument so it evaluates inside the data, use double brackets to treat column names as strings and avoid masking, use all_of for strict selection, and use glue on the left of := to programmatically name results; examples and migration patterns are shown.
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chapters (7)
- 0:00Intro
- 0:23Data-masking in R
- 5:08Trouble in data-masking town
- 6:151. Unexpected masking
- 8:032. Data-variables through arguments
- 11:052. Hard to reuse code in functions
- 12:45What about selections?
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