R Apply mutate() Function with Conditional Values – dplyr Package (Example Code)

This article illustrates how to apply the mutate function with an ifelse condition in the R programming language.

Preparing the Example

data(iris)                  # Load iris data
head(iris)
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1          5.1         3.5          1.4         0.2  setosa
# 2          4.9         3.0          1.4         0.2  setosa
# 3          4.7         3.2          1.3         0.2  setosa
# 4          4.6         3.1          1.5         0.2  setosa
# 5          5.0         3.6          1.4         0.2  setosa
# 6          5.4         3.9          1.7         0.4  setosa
install.packages("dplyr")     # Install dplyr package
library("dplyr")              # Load dplyr package

Example: Apply mutate Function Based On Logical Condition

iris_new <- iris %>%        # Applying mutate
  mutate(new = (Sepal.Length > 5 & Petal.Width < 0.3) * 1)
head(iris_new)
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species new
# 1          5.1         3.5          1.4         0.2  setosa   1
# 2          4.9         3.0          1.4         0.2  setosa   0
# 3          4.7         3.2          1.3         0.2  setosa   0
# 4          4.6         3.1          1.5         0.2  setosa   0
# 5          5.0         3.6          1.4         0.2  setosa   0
# 6          5.4         3.9          1.7         0.4  setosa   0

Leave a Reply

Your email address will not be published.

Fill out this field
Fill out this field
Please enter a valid email address.
You need to agree with the terms to proceed

Menu
Top