Replace missing values with dplyr

Replace missing values with dplyr, you’ll discover how to use the coalesce function of the dplyr add-on package in R programming in this article.

Example 1: Use the coalesce function to add one value in place of any missing values.

How to replace missing values with dplyr with a single specified value is demonstrated in Example 1.

 Installing and loading the tydiverse environment’s dplyr package is the first step.


Additionally, we must generate some sample data:

x <- c(32, 11, NA, 5, 3, NA)
[1]  2  1 NA  5  3 NA

A numeric vector with two NA values makes up our example data.

Now that these NA values have been replaced by a different value, we may use the coalesce method. In this instance, we are substituting the value 999 for the NA values:

coalesce(x, 999)
[1]   32   11 999   5   3 999   

As you can see from the RStudio console’s output, the value is there in our modified vector.

Machine Learning Archives » Data Science Tutorials

Example 2: Use the coalesce function to match two vectors.

The coalesce command can also be used to combine two numerical vectors into a single vector. Let’s begin by producing a second vector:

y <- c(1, NA, 17, NA, 37, NA) 
[1]  1 NA 17 NA 37 NA

Also, take note that our second vector has missing data.

Our two vectors, x and y, can now be matched as follows:

coalesce(x, y)
[1]  2  1 17  5  3 NA

As you can see, the coalesce command substituted the equivalent value in y for each missing value in x. Due to the NA value present in both of the input vectors at this location, the final vector element is still NA.

You may also like...

Leave a Reply

Your email address will not be published. Required fields are marked *

3 × five =