Task: Data frames and tibbles

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Find the solution here after the session ends.

Get started with tibbles

Before you start the task:

  • If you haven’t already, install the tibble package by calling install.packages("tibble") in the console.
Don’t put install.packages() in your script

You don’t need to put install.packages("tibble") in your script. You only need to install a package once on your computer, not every time you run the script. So you can just run this line once in the console.

  • Open your script for the task and put library(tibble) on top
  • Execute this line and the tibble package is loaded into your R session

Create a tibble

Use the vectors species, brainwt_kg, bodywt_kg from the previous task and combine them in a tibble.

Explore the tibble

Explore the tibble you created with the different functions that you learned in the presentation. You can for example try

  • view() and explore what you can do in the view window that opens: searching, filtering, sorting columns
  • summary()
  • …

Index, filter and select

Now let’s try some indexing on the data.

  • Rows 1, 5, and 7 and the columns species and bodywt_kg
  • Filter rows 1 to 10, all columns
  • Select the column bodywt_kg as a vector

Optional tasks (if you finish early)

You can do these in any order — or skip them and just take a break.

  • Select the last column of the last row without using the row and column index (so don’t use any numbers in this command)
  • Calculate the mean of the bodywt_kg column and save it in a variable
  • Add a new column to the data called ratio_body_brain with the ratio of the columns bodywt_kg and brainwt_kg