# Convert Table to Data Frame in R (Example)

In this R programming tutorial you’ll learn how to convert a table to a data.frame.

The page looks as follows:

It’s time to dive into the programming part…

## Creation of Example Data

In the example of this R tutorial, we’ll use the following contingency table as input data:

```set.seed(642)                                    # Create example table
my_tab <- table(x1 = round(rnorm(100)),
x2 = round(rnorm(100)))
my_tab                                           # Print table to console
#     x2
# x1  -2 -1  0  1  2
# -2   0  3  2  3  0
# -1   2  3 13  6  3
#  0   1  5 16 11  1
#  1   2 10  9  4  0
#  2   1  0  1  3  0
#  3   0  0  1  0  0```

Our table contains the cross tabulation of two rand normally distributed variables.

## Example: Converting table to data.frame

We can convert our example table to the data.frame class with the as.data.frame.matrix function. Consider the following R code:

```my_dataframe <- as.data.frame.matrix(my_tab)     # Convert table to data frame
my_dataframe                                     # Print data.frame to console
#    -2 -1  0  1 2
# -2  0  3  2  3 0
# -1  2  3 13  6 3
#  0  1  5 16 11 1
#  1  2 10  9  4 0
#  2  1  0  1  3 0
#  3  0  0  1  0 0```

As you can see based on the output of the RStudio console (or by applying the class function to our new data object), we have successfully converted our table to a data.frame object in the R programming language.

## Video, Further Resources & Summary

Have a look at the following video of the Statistics Globe YouTube channel. I’m explaining the R programming syntax of this article in the video:

In addition, you may have a look at the related tutorials on my website.

To summarize: In this R tutorial you learned how to convert a crosstab to a data frame. Note that the same approach would work to change the column vectors of frequency tables in R. If you have further questions, let me know in the comments.

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