# How to Create a Three-Way Table in R (With Examples)

A three-way table is a type of table that displays the frequencies for three categorical variables.

The easiest way to create a three-way table in R is to use the xtabs() function:

`three_way <- xtabs(~ var1 + var2 + var3, data=df) `

If you’d like to view the three-way table in a more compact manner, you can use the ftable() function:

`three_way_ftable <- ftable(three_way)`

Note: Both the xtabs() and ftable() functions are built into base R.

The following example shows how to use these functions to create three-way tables in R in practice.

## Example: How to Create Three-Way Tables in R

Suppose we have the following data frame that contains information about various basketball players:

```#create data frame
df <- data.frame(team=c('A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B'),
position=c('G', 'G', 'G', 'F', 'F', 'G', 'G', 'F', 'F', 'F'),
starter=c('Yes', 'No', 'No', 'Yes', 'No',
'Yes', 'No', 'Yes', 'Yes', 'No'),
points=c(30, 28, 24, 24, 28, 14, 16, 20, 34, 29))

#view data frame
df

team position starter points
1     A        G     Yes     30
2     A        G      No     28
3     A        G      No     24
4     A        F     Yes     24
5     A        F      No     28
6     B        G     Yes     14
7     B        G      No     16
8     B        F     Yes     20
9     B        F     Yes     34
10    B        F      No     29
```

Suppose we would like to create a three-way table to view the frequency of players based on three variables: team, position, and starter.

We can use the xtabs() function to create this three-way table:

```#create three-way table
three_way <- xtabs(~ team + position + starter, data=df)

#view three-way table
three_way

, , starter = No

position
team F G
A 1 2
B 1 1

, , starter = Yes

position
team F G
A 1 1
B 2 1```

The first table in the output shows the frequency of players by team and position where the starter variable is equal to No.

The second table shows the frequency of players by team and position where the starter variable is equal to Yes.

If we’d like, we can use the ftable() function to “flatten” these tables into one table:

```#convert table to ftable
three_way_ftable <- ftable(three_way)

#view ftable
three_way_ftable

starter No Yes
team position
A    F                 1   1
G                 2   1
B    F                 1   2
G                 1   1
```

The resulting three-way table shows the frequencies of all three variables in a “flat” format.

For example, we can see:

• There was 1 player who was on team A, position F, and was not a starter.
• There was 1 player who was on team A, position F, and was a starter.
• There were 2 players who were on team A, position G, and were not starters.

And so on.