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R’s Tidyverse packages make interactive data exploration and modelling fast and fluid (and fun!?). The flip side of this ease of interrogating your data and building models is that using tidyr/dplyr/ggplot code indirectly (i.e. non-interactively within functions or loops) is more challenging. This code clinic will demonstrate the issues that arise when trying to use dplyr/tidyr verbs non-interactively and show you a number of recipes to solve common problems encountered in programming with the Tidyverse.

Topics to be covered:

Tidy evaluation (non-standard evaluation)
Data-masking and indirection
Tidy selection
Developing functions based on dplyr/tidyr/ggplot

In the second half of the session, you will have the opportunity to ask all R-related questions that you have always wanted to know the answer to. All levels of experience welcome.