R Programming for Data Analysis - Advanced

Course subjects

Working more efficiently in R

• How to work more efficiently in R

• Vectorisation

• Using better functions

• Concise code

• Reusable scripts

• Custom functions

• Loops and other control structures

• Loop alternatives

Functions to reduce typing

• Printing objects after creating

• with and within

• Inserting multiple quotation marks

Create your own functions

• Why write your own functions?

• Basics of functions

• What is a function?

• Creating your own functions

• Syntax for writing your own function

• More complex functions

• Ellipses and further arguments

• Scope

• Loading your functions

Loops and control structures in R

• If and if else

• Loops for loops

• Saving results from a loop

Improving your code

• While loops

• Repeat loops

Loop alternatives

• Functionals

• Apply functions

• Split

• Map functions

• Map variants

• Returning a vector

• Walk

• Loop, apply or map?

Tidyverse piping syntax

• Purpose

• Using the pipe

• Pipe variants

• The tee operator

• The exposition operator

Plotting with ggplot2

• The grammar of graphics

• Required components

• Using ggplot()

• Scatterplot

• Line chart

• ggplot2 resources