# Transparent Scatterplot Points in Base R & ggplot2 (2 Examples)

In this R tutorial you’ll learn how to decrease the alpha of points in an xy-plot using Base R and the ggplot2 package.

The post will contain these contents:

Let’s just jump right in:

## Creation of Example Data

We’ll use the following data as basement for this R tutorial:

```data <- data.frame(x = c(1, 1.1, 2, 2.1, 3, 3.1, 4, 4.1, 5, 5.1), # Example data y = c(1, 1.1, 2, 2.1, 3, 3.1, 4, 4.1, 5, 5.1), group = as.factor(1:2)) data # Print example data # x y group # 1 1.0 1.0 1 # 2 1.1 1.1 2 # 3 2.0 2.0 1 # 4 2.1 2.1 2 # 5 3.0 3.0 1 # 6 3.1 3.1 2 # 7 4.0 4.0 1 # 8 4.1 4.1 2 # 9 5.0 5.0 1 # 10 5.1 5.1 2```

Have a look at the previous RStudio console output. It shows that our example data has ten rows and three columns. The variables x and y contain numeric values and the variable group defines two different groups of observations.

## Example 1: Drawing Plot with Transparent Points Using Base R

In this example, I’ll explain how to decrease the opacity in a Base R plot. First, let’s create a scatterplot with default opacity (i.e. alpha = 1):

```plot(data\$x, # Draw non-transparent plot data\$y, pch = 16, cex = 5, col = data\$group)``` As shown in Figure 1, we created an xy-plot showing our data points with full opacity with the previous R programming syntax.

In order to adjust the alpha of our points, we have to install and load the scales add-on package in R.

```install.packages("scales") # Install scales package library("scales") # Load scales package```

Now, we can use the alpha function provided by the scales package to make our points more transparent:

```plot(data\$x, # Draw transparent plot data\$y, pch = 16, cex = 5, col = alpha(data\$group, 0.5))``` As shown in Figure 2, we drew a Base R scatterplot with transparent points with the previous R programming code.

## Example 2: Drawing Plot with Transparent Points Using ggplot2 Package

The following code explains how to adjust the point opacity in a ggplot2 graph.

If we want to use the functions of the ggplot2 package, we first need to install and load ggplot2:

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

First, I’m creating a ggplot2 scatterplot with default opacity:

```ggplot(data, aes(x, y, col = group)) + # Draw non-transparent plot geom_point(size = 10)``` As shown in Figure 3, we created a ggplot2 graph with alpha equal to 1 with the previous R programming syntax.

If we want to decrease the opacity of our points, we can use the alpha argument within the geom_point function as shown below:

```ggplot(data, aes(x, y, col = group)) + # Draw transparent plot geom_point(size = 10, alpha = 0.5)``` As shown in Figure 4, the previous syntax created a ggplot2 graphic where the data points have low opacity.

## Video, Further Resources & Summary

If you need more explanations on the R programming syntax of this article, you may want to watch the following video that I have published on my YouTube channel. I illustrate the topics of this article in the video.

The YouTube video will be added soon.

Additionally, you may have a look at the related tutorials which I have published on my website.

In this R tutorial you learned how to change the opacity of points in a graphic. In case you have additional questions, let me know in the comments.

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