Course Outline

What are lists?: A brief introduction explaining how list objects are used in the R ecosystem
Introduction to {purrr}: Mapping functions across vectors and lists using map() - an alternative to for loops
Manipulating {purrr} list output: Converting lists to concatenated vectors and joined data frames. In addition, list extraction.
List columns and nesting: Nesting data in list columns and using the mapping funtions to manipulate them
Parallel mapping: Using map2(), pmap() and imap() to map over objects in parallel
Good practices: Using safely() to aid in the debugging process

Learning Outcomes

By the end of the course, participants will be able to…

use {purrr} mapping functions to pass each element of an object to a function
recognise the advantages of using {purrrr} over base R functions like lapply() and for loops
manipulate list output to achieve a desired output object class
nest data in list columns to store data across different observations
iteratively loop two or more objects to a function of choice using functions such as map2(), pmap() and imap()
save precious deubugging time using safely()

Materials

Prior Knowledge

This course would assume familiarity with functional programming methods such as for loops. It is assumed that students have attended our Programming with R course (or have equivalent skills).

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Training Course Details

Functional Programming with {purrr}

Course Level: Foundation

Functional Programming with {purrr}

Course Details

Course Outline

Learning Outcomes

Materials

Prior Knowledge

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