Select Rows with Partial String Match in R (2 Examples)
In this article you’ll learn how to filter rows where a specific column has a partial string match in the R programming language.
Table of contents:
Let’s do this:
Creation of Exemplifying Data
First, we’ll have to load some data that we can use in the examples later on. In this tutorial, we are using the iris data set:
data(iris) # Example data head(iris) # Head of example data # 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
The previous output of the RStudio console shows that our example data has five columns, whereby the variable species contains character strings. In the examples of this tutorial, we assume that we want to select rows where the variable species partially matches the character string “virg”. Let’s do this…
Example 1: Detect Rows with Partial Match Using stringr Package
This Example explains how to extract rows with a partial match using the stringr package. We first need to install and load the stringr package:
install.packages("stringr") # Install stringr package library("stringr") # Load stringr
data1 <- iris[str_detect(iris$Species, "virg"), ] # Extract matching rows with str_detect head(data1) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 101 6.3 3.3 6.0 2.5 virginica # 102 5.8 2.7 5.1 1.9 virginica # 103 7.1 3.0 5.9 2.1 virginica # 104 6.3 2.9 5.6 1.8 virginica # 105 6.5 3.0 5.8 2.2 virginica # 106 7.6 3.0 6.6 2.1 virginica
As you can see, we have extracted only rows where the Species column partially matches the character string “virg”.
Example 2: Detect Rows with Partial Match Using data.table Package
In Example 2, I’ll show how to detect rows with a partial match using the data.table package. Again, we need to install and load the package first:
install.packages("data.table") # Install data.table package library("data.table") # Load data.table
Now, we can use the %like%-operator as follows:
data2 <- iris[iris$Species %like% "virg", ] # Extract matching rows with %like% head(data2) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 101 6.3 3.3 6.0 2.5 virginica # 102 5.8 2.7 5.1 1.9 virginica # 103 7.1 3.0 5.9 2.1 virginica # 104 6.3 2.9 5.6 1.8 virginica # 105 6.5 3.0 5.8 2.2 virginica # 106 7.6 3.0 6.6 2.1 virginica
Exactly the same result as in Example 1 – but this time with a completely different R code.
Video & Further Resources
Would you like to know more about the subsetting of data frames? Then I can recommend to have a look at the following video which I have published on my YouTube channel. In the video, I explain the R codes of this article:
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Furthermore, you might have a look at the related tutorials of my homepage:
- stringr Package in R
- data.table Package in R
- Subset Data Frame Rows by Logical Condition
- Conditionally Remove Row from Data Frame
- Remove First Row of Data Frame in R
- Extract First N Rows of Data Frame in R
- Extract Row from Data Frame in R
- The R Programming Language
To summarize: This tutorial showed how to extract data frame rows based on a partial match of a character string in R. Let me know in the comments, if you have any additional questions and/or comments.
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