Schedule

We will finish up on discussing the four basic data types in depth and how coercion occurs. We will also discuss attributes, introduce lists, and discuss subsetting for lists versus atomic vectors.

Our first lab will ask you to extract elements from deeply nested lists while also using base R loops to conduct basic operations.

The second lab will get us using {purrr} in an applied way. We’ll fit multiple models, iterate through nested lists, and make some real-world API calls.

The concept of list columns will be introduced and contrasted with the base::split(). By the end of this lecture you should be able to fluently nest and unnest data frames and understand why this is such a powerful framework. The last 20 minutes will be devoted to an “in-class” quiz.

We’ll discuss the differences betweeenpurrr::map() and purrr::modify() while introducing new functions, including purrr::safely(), and purrr::walk(). We will also discuss different types of loops, focusing mostly on purrr::reduce() (and noting the similarities with base::Reduce()).

Making the internals of a function more complicated! But also keeping functions as simple as possible. Functions within functions!

Our final lecture on functions, we will discuss what makes a function “good” and what makes them fragile. In this spirit, we will create many small functions that build toward a single function. Additionally, we the concept of non-standard evaluation will be introduced, which is used prevalently throughout the tidyverse and can make programming with the tidyverse a bit more difficult.

We will review the basics of shiny and introduce shiny dashboards. Different layout options will also be discussed.

This is a built-in day for review and to make sure we have covered the primary topics of shiny. We will also review the basics of functions. Students will be allowed to request topics for review before class.

Once you are confident writing functions, it is actually not that big of a leap to wrap them all up in a package. Package development will be introduced and resources to learn more will be shared.