Extract Data Frame Rows that do not Match Logical Condition in R (Example)

 

In this R tutorial you’ll learn how to select data frame rows that have no match to a certain condition.

The content of the tutorial is structured as follows:

So now the part you have been waiting for – the exemplifying R code.

 

Creation of Example Data

The data below will be used as basement for this R tutorial:

data <- data.frame(x1 = 9:3,              # Creating data frame in R
                   x2 = letters[9:3],
                   x3 = 5)
data                                      # Printing data frame in R

 

table 1 data frame extract data frame rows that do not match condition r

 

Table 1 shows that our example data consists of seven rows and three columns.

Let’s also create a vector to which we will match a logical condition later on:

vec <- c("d", "e", "g")                   # Creating vector in R
vec                                       # Printing vector in R
# [1] "d" "e" "g"

Our example vector simply contains the character values “d”, “e”, and “g”.

 

Example: Subset Data Frame Rows that do not Match Using ! and %in% Operators

In this section, I’ll illustrate how to extract only those data frame rows that do not match a certain logical condition.

More precisely, we’ll subset all rows where the values of the column x2 do not exist in our example vector vec.

For this, we can use the ! and $ operators as shown below:

data_new <- data[! data$x2 %in% vec, ]    # Subsetting data frame
data_new                                  # Printing updated data frame in R

 

table 2 data frame extract data frame rows that do not match condition r

 

As you can see in Table 2, we have created a data frame without the three rows that have matched our logical condition.

 

Video, Further Resources & Summary

If you need more info on the R code of this article, you might have a look at the following video of my YouTube channel. I explain the R codes of this article in the video tutorial.

 

The YouTube video will be added soon.

 

Furthermore, you might want to read the related tutorials which I have published on https://statisticsglobe.com/:

 

To summarize: In this article, I have shown how to keep only rows of a data frame that do not match a logical condition in R. Let me know in the comments below, in case you have further questions.

 

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