A **relative frequency table** tells you how often certain values in a dataset occur *relative* to the total number of values in the dataset.

You can use the following basic syntax to create a frequency table in R:

table(data)/length(data)

The **table()** function calculates the frequency of each individual data value and the **length()** function calculates the total number of values in the dataset.

Thus, dividing each individual frequency by the length of the dataset gives us the relative frequency of each value in the dataset.

The following examples show how to use this syntax in practice.

**Example 1: Relative Frequency Table for One Vector**

The following code shows how to create a relative frequency table for a single vector in R:

#define data data <- c('A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C', 'C') #create relative frequency table table(data)/length(data) A B C 0.2 0.3 0.5

Here’s how to interpret the table:

**20%**of all values in the dataset are the letter A**30%**of all values in the dataset are the letter B**50%**of all values in the dataset are the letter C

**Example 2: Relative Frequency Table for One Data Frame Column**

The following code shows how to create a relative frequency table for one column of a data frame in R:

#define data frame df <- data.frame(team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'C'), wins=c(2, 9, 11, 12, 15, 17, 18, 19), points=c(1, 2, 2, 2, 3, 3, 3, 3)) #view first few rows of data frame head(df) team wins points 1 A 2 1 2 A 9 2 3 A 11 2 4 A 12 2 5 A 15 3 6 B 17 3 #calculate relative frequency table for 'team' column table(df$team)/length(df$team) A B C 0.625 0.250 0.125

**Example 3: Relative Frequency Table for All Data Frame Columns**

The following code shows how to create a relative frequency table for every column of a data frame in R:

#define data frame df <- data.frame(team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'C'), wins=c(2, 9, 11, 12, 15, 17, 18, 19), points=c(1, 2, 2, 2, 3, 3, 3, 3)) #calculate relative frequency table for each column sapply(df, function(x) table(x)/nrow(df)) $team x A B C 0.625 0.250 0.125 $wins x 2 9 11 12 15 17 18 19 0.125 0.125 0.125 0.125 0.125 0.125 0.125 0.125 $points x 1 2 3 0.125 0.375 0.500

**Additional Resources**

How to Create Frequency Tables in R

How to Create a Frequency Table of Multiple Variables in R