# Color Scatterplot Points in R (2 Examples)

In this tutorial, Iâ€™ll illustrate how to **draw a scatterplot with colors** in R programming.

The article will consist of the following content blocks:

Letâ€™s start right away!

## Example Data

Weâ€™ll use the following data as basement for this R programming tutorial:

set.seed(9832674) # Set random seed x <- rnorm(300) # Create x variable y <- rnorm(300) + x # Create correlated y variable group <- rep(1, 300) # Create group variable group[x > 0] <- 2 group[x > 1.5] <- 3 data <- data.frame(x, y, group) # Create data frame head(data) # Head of data frame # x y group # 1 1.0860581 -0.1031364 2 # 2 -1.0928708 -2.4610668 1 # 3 0.2750614 -0.6152865 2 # 4 2.4189857 1.6752551 3 # 5 -0.8131797 0.5929344 1 # 6 -1.4942538 -1.2267222 1

Have a look at the previous output of the RStudio console. It shows that our example data has three columns.

The variables x and y contain the values weâ€™ll draw in our plot. The variable group defines the color for each data point.

Note that we have created the grouping column so that all values where x is smaller or equal to zero have the group value 1, data points with x larger than zero an smaller or equal to 1.5 have the group value 2, and data points with x larger than 1.5 have the group value 3.

Anyway, letâ€™s draw these dataâ€¦

## Example 1: Drawing Scatterplot with Colored Points Using Base R

In this example, Iâ€™ll show how to use the basic installation of the R programming language to draw a colored scatterplot in R.

For this, we have to use the plot function and the col argument as shown below:

plot(data$x, # Draw Base R plot data$y, pch = 16, col = data$group)

As revealed in Figure 1, the previous R programming code created a graphic with colored points according to the values in our grouping vector.

## Example 2: Drawing Scatterplot with Colored Points Using ggplot2 Package

Example 2 explains how to use the ggplot2 package to print a scatterplot with colors.

If we want to use the functions of the ggplot2 add-on package, we first have to install and load ggplot2:

install.packages("ggplot2") # Install ggplot2 package library("ggplot2") # Load ggplot2 package

Now, we can draw a colored ggplot2 plot as follows:

ggplot(data, # Draw ggplot2 plot aes(x = x, y = y, col = as.factor(group))) + geom_point()

As illustrated in Figure 2, we created a colored scatterplot with the previous code.

Note that we had to convert our grouping column to the factor class within the aes function.

## Video, Further Resources & Summary

I have recently published a video on my YouTube channel, which shows the R programming code of this tutorial. You can find the video below:

In addition, you may want to have a look at the related tutorials of this website:

- Add Color Between Two Points of Kernel Density Plot
- Control the Size of the Points in a Scatterplot
- Graphics Overview in R
- Introduction to R

This tutorial illustrated how to **color the dots of xy-plots** in the R programming language. If you have any further comments and/or questions, donâ€™t hesitate to let me know in the comments section.