mutate()
This lesson is called mutate(), part of the Fundamentals of R (RStudio) course. This lesson is called mutate(), part of the Fundamentals of R (RStudio) course.
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# Load Packages -----------------------------------------------------------
library(tidyverse)
# Import Data -------------------------------------------------------------
penguins <- read_csv("penguins.csv")
# mutate() ----------------------------------------------------------------
# We use mutate() we make new variables or change existing ones.
# We can use mutate() in three ways.
# 1. Create a new variable with a specific value:
penguins |>
mutate(continent = "Antarctica")
# 2. Create a new variable based on other variables:
penguins |>
mutate(body_mass_lbs = body_mass_g / 453.6)
# 3. Change an existing variable
penguins |>
mutate(bill_length_mm = bill_length_mm + 1)
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")
# mutate() ----------------------------------------------------------------
# Use mutate() to create a variable called observation_station and set its value to "Palmer"
# YOUR CODE HERE
# 2. Create a new variable based on other variables:
# YOUR CODE HERE
# 3. Change an existing variable
# YOUR CODE HERE
Learn More
To learn more about the mutate() function, check out Chapter 3 of R for Data Science.
Have any questions? Put them below and we will help you out!
Course Content
34 Lessons
1
The Grammar of Graphics
04:39
2
Scatterplots
03:46
3
Histograms
05:47
4
Bar Charts
06:37
5
Setting color and fill Aesthetic Properties
02:39
6
Setting color and fill Scales
05:40
7
Setting x and y Scales
03:09
8
Adding Text to Plots
07:32
9
Plot Labels
03:57
10
Themes
02:19
11
Facets
03:12
12
Save Plots
02:57
13
Bring it All Together (Data Visualization)
06:42
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