Subset Table Object in R (Example)

In this post, I’ll illustrate how to subset a table object in R programming.

The article will contain the following:

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

Creation of Example Data

The following data will be used as basement for this R programming language tutorial:

data <- data.frame(x1 = 1:10,       # Create example data frame
                   x2 = c(rep(letters[1:3], each = 3), "d"))
data                                # Print example data frame

Have a look at the table that got returned by the previous R syntax. It shows that our example data consists of ten observations and two columns.

Now, we can create a table object based on the column x2 of our data frame:

my_tab <- table(data$x2)            # Create table
my_tab                              # Print table
# a b c d 
# 3 3 3 1

As you can see, the previous R code has created a new table object containing the frequency counts of the variable x2.

You can also see, that we have not subsetted our table yet. Let’s do this!

Example: Subset Table Object Using Logical Conditions

In this example, I’ll explain how to extract a subset of a data object with the table class.

We can filter our example table using a logical condition as shown below:

my_tab_sub <- my_tab[my_tab > 1]    # Subset table
my_tab_sub                          # Print subsetted table
# a b c 
# 3 3 3

The previous R code has returned a new table object called my_tab_sub, which contains only table elements with a count larger than 1.

Video & Further Resources

I have recently published a video on the Statistics Globe YouTube channel, which explains the R syntax of this tutorial. You can find the video below.

In addition, you might have a look at some of the related articles which I have published on this website. A selection of articles is shown below:

• Subset Data Frame and Matrix by Row Names
• Extract Subset of Data Frame Rows Containing NA
• Select Subset of Data Table Columns in R
• Extract Values & Names from table Object in R
• The R Programming Language

Summary: You have learned in this tutorial how to select and extract a subset of a table by using a logical condition in R. In case you have any additional comments and/or questions, don’t hesitate to let me know in the comments.