# dplyr mutate Function with Logical ifelse Condition in R (2 Examples)

In this tutorial you’ll learn how to **use the mutate function with a logical condition** in the R programming language.

Table of contents:

Let’s take a look at some R codes in action…

## Example Data & Packages

Consider the following example data:

data <- data.frame(x1 = 1:5, # Example data x2 = letters[1:5], x3 = 3) data # Print example data # x1 x2 x3 # 1 1 a 3 # 2 2 b 3 # 3 3 c 3 # 4 4 d 3 # 5 5 e 3 |

data <- data.frame(x1 = 1:5, # Example data x2 = letters[1:5], x3 = 3) data # Print example data # x1 x2 x3 # 1 1 a 3 # 2 2 b 3 # 3 3 c 3 # 4 4 d 3 # 5 5 e 3

The previous output of the RStudio console shows that our example data consists of five rows and three columns.

For the examples of this tutorial, I also have to install and load the dplyr package of the tidyverse:

install.packages("dplyr") # Install & load dplyr library("dplyr") |

install.packages("dplyr") # Install & load dplyr library("dplyr")

Let’s move on to the examples…

## Example 1: Conditional mutate Function Returns Logical Value

The following R programming syntax shows how to use the mutate function to create a new variable with logical values. For this, we need to specify a logical condition within the mutate command:

data %>% # Apply mutate mutate(x4 = (x1 == 1 | x2 == "b")) # x1 x2 x3 x4 # 1 1 a 3 TRUE # 2 2 b 3 TRUE # 3 3 c 3 FALSE # 4 4 d 3 FALSE # 5 5 e 3 FALSE |

data %>% # Apply mutate mutate(x4 = (x1 == 1 | x2 == "b")) # x1 x2 x3 x4 # 1 1 a 3 TRUE # 2 2 b 3 TRUE # 3 3 c 3 FALSE # 4 4 d 3 FALSE # 5 5 e 3 FALSE

The condition we have specified within the mutate function is TRUE for rows 1 and 2. Hence, our new variable x4 contains the value TRUE in these rows.

## Example 2: Conditional mutate Function Returns Numeric Value

We can also add a numeric variable reflecting the outcome of our logical condition. We simply need to multiply our condition with 1:

data %>% # Apply mutate mutate(x4 = (x1 == 1 | x2 == "b") * 1) # x1 x2 x3 x4 # 1 1 a 3 1 # 2 2 b 3 1 # 3 3 c 3 0 # 4 4 d 3 0 # 5 5 e 3 0 |

data %>% # Apply mutate mutate(x4 = (x1 == 1 | x2 == "b") * 1) # x1 x2 x3 x4 # 1 1 a 3 1 # 2 2 b 3 1 # 3 3 c 3 0 # 4 4 d 3 0 # 5 5 e 3 0

## Video, Further Resources & Summary

If you need further explanations on the topics of this tutorial, you may want to watch the following video of my YouTube channel. I illustrate the R syntax of this tutorial in the video:

*The YouTube video will be added soon.*

Furthermore, I can recommend to read the related tutorials on Statistics Globe. A selection of tutorials is listed here.

- mutate & transmute R Functions of dplyr Package
- dplyr Package in R
- R Functions List (+ Examples)
- The R Programming Language

To summarize: This tutorial illustrated how to **apply the mutate function with an ifelse condition** in the R programming language. If you have further questions and/or comments, tell me about it in the comments.

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