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R in 3 Months (Spring 2025)

arrange()

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View code shown in video 
# Load Packages -----------------------------------------------------------

library(tidyverse)

# Import Data -------------------------------------------------------------

penguins <- read_csv("penguins.csv")

# arrange() ---------------------------------------------------------------

# With arrange(), we can reorder rows in a data frame based on the values 
# of one or more variables. 
# R arranges in ascending order by default.

penguins |> 
  arrange(bill_length_mm)

# We can also arrange in descending order using desc().

penguins |>  
  arrange(desc(bill_length_mm))

# We often use arrange() at the end of pipelines to display things in order.

penguins |> 
  group_by(island, year) |> 
  summarize(mean_bill_length = mean(bill_length_mm, na.rm = TRUE)) |> 
  arrange(desc(mean_bill_length))

Your Turn

# Load Packages -----------------------------------------------------------

# Load the tidyverse package

library(tidyverse)

# Import Data -------------------------------------------------------------

# Download data from https://rfor.us/penguins
# Copy the data into the RStudio project
# Create a new R script file and add code to import your data

penguins <- read_csv("penguins.csv")
			
# arrange() ---------------------------------------------------------------

# Use arrange() to display the penguins data frame in order by body mass

# YOUR CODE HERE

# Now display the penguins data in descending order by body mass

# YOUR CODE HERE

# Create a pipeline that does the following:
# 1. Filters to only keep penguins on Biscoe island
# 2. Drops any rows with NA values for the body_mass_g or sex variables
# 3. Calculates the average body mass by sex
# 4. Displays the result in descending order by average body mass

# YOUR CODE HERE

Learn More

To learn more about the arrange() function, check out Chapter 3 of R for Data Science.

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Course Content

127 Lessons