Before we Start

  • Use RStudio to write and run R programs.
  • Use install.packages() to install packages (libraries).

Introduction to R

  • Access individual values by location using [].
  • Access arbitrary sets of data using [c(...)].
  • Use logical operations and logical vectors to access subsets of data.

Starting with Data

  • Use read_csv to read tabular data in R.

Data Wrangling with dplyr and tidyr

  • Use the dplyr package to manipulate dataframes.
  • Use select() to choose variables from a dataframe.
  • Use filter() to choose data based on values.
  • Use group_by() and summarize() to work with subsets of data.
  • Use mutate() to create new variables.
  • Use the tidyr package to change the layout of dataframes.
  • Use pivot_wider() to go from long to wide format.
  • Use pivot_longer() to go from wide to long format.

A couple of plots. And making our own functions

  • Boxplots are useful for visualizing the distribution of a continuous variable.
  • Barplots are useful for visualizing categorical data.
  • Functions allows you to repeat the same set of operations again and again.
  • Loops allows you to apply the same function to lots of data.
  • Logical tests allow you to apply different calculations on different sets of data.

What is the next step?