# Create Dummy Data Frame in R (Example)

This tutorial illustrates how to **construct a data frame with dummy variables** in R.

The tutorial consists of this:

Youâ€™re here for the answer, so letâ€™s get straight to the programming partâ€¦

## Example: Construct Dummy Data Frame Using rbinom(), matrix() & as.data.frame() Functions

The following R syntax shows how to create a data frame containing multiple dummy variables in R.

We first need to set a random seed to make this example reproducible:

set.seed(2867754) # Set seed for reproducibility

Next, we can use the rbinom function to generate a random dummy vector:

dummy_vec <- rbinom(15, 1, prob = 0.3) # Create dummy vector dummy_vec # Print dummy vector # [1] 1 0 0 1 0 0 0 0 0 0 0 0 1 0 1

In the next step, we can convert this dummy vector to a matrix:

dummy_mat <- matrix(dummy_vec, ncol = 3) # Convert vector to matrix dummy_mat # Print dummy matrix

Table 1 shows the output of the previous R programming syntax â€“ A matrix object containing three different dummy columns.

Finally, we can convert the matrix object to the data.frame class using the as.data.frame function:

data <- as.data.frame(dummy_mat) # Convert matrix to data frame data # Print dummy data frame

As visualized in Table 2, we have managed to construct a data frame with dummy variables with the previous R programming syntax.

## Video & Further Resources

Do you need more info on the R programming syntax of this article? Then you might want to have a look at the following video on my YouTube channel. In the video, Iâ€™m explaining the contents of this article in a live session in RStudio:

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In addition, you may want to read the related posts on this website:

- Create a Data Frame in R
- Create Empty Data Frame in R
- Create Data Frame with n Rows & m Columns
- Create Data Frame of Unequal Lengths
- Create List of Data Frames
- The R Programming Language

To summarize: At this point you should know how to **make a data frame with dummy columns** in R. Let me know in the comments section below, in case you have any additional questions.

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