# Add Confidence Band to ggplot2 Plot in R (Example)

In this tutorial you’ll learn how to **draw a band of confidence intervals to a ggplot2 graphic** in R.

The content of the page is structured as follows:

Let’s just jump right in:

## Example Data, Add-On Packages & Default Graph

Have a look at the following example data:

set.seed(657289) # Create data frame in R x <- 1:100 y <- rnorm(100) + x / 10 low <- y + rnorm(100, - 2, 0.1) high <- y + rnorm(100, + 2, 0.1) data <- data.frame(x, y, low, high) head(data) # First six rows of example data |

set.seed(657289) # Create data frame in R x <- 1:100 y <- rnorm(100) + x / 10 low <- y + rnorm(100, - 2, 0.1) high <- y + rnorm(100, + 2, 0.1) data <- data.frame(x, y, low, high) head(data) # First six rows of example data

Have a look at the table that got returned by the previous R syntax. It reveals that our example data is composed of 100 rows and four columns.

The variables x and y contain the values we will draw in our plot. The variables low and high contain the corresponding confidence intervals to these values.

Please note that I have created some random confidence values for the sake of simplicity of this tutorial. In case you want to learn more on how to calculate confidence interval, you may have a look here.

In order to draw a graph of our data with the ggplot2 package, we also have to install and load ggplot2:

install.packages("ggplot2") # Install & load ggplot2 package library("ggplot2") |

install.packages("ggplot2") # Install & load ggplot2 package library("ggplot2")

As a next step, we can plot our data without confidence band:

ggp <- ggplot(data, aes(x, y)) + # ggplot2 plot without confidence band geom_point() ggp |

ggp <- ggplot(data, aes(x, y)) + # ggplot2 plot without confidence band geom_point() ggp

As shown in Figure 1, the previous R programming syntax has created a scatterplot without confidence intervals in ggplot2.

## Example: Add Confidence Band to ggplot2 Plot Using geom_ribbon() Function

In this example, I’ll show how to plot a confidence band in a ggplot2 graph.

For this, we can use the geom_ribbon function as shown below:

ggp + # Add confidence intervals geom_ribbon(aes(ymin = low, ymax = high), alpha = 0.2) |

ggp + # Add confidence intervals geom_ribbon(aes(ymin = low, ymax = high), alpha = 0.2)

By executing the previous R programming syntax, we have plotted Figure 2, i.e. a ggplot2 xy-plot with confidence band.

## Video, Further Resources & Summary

Have a look at the following video of my YouTube channel. In the video, I explain the content of this article in a live session:

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In addition, you could have a look at some of the other articles of this homepage. You can find a selection of tutorials about ggplot2 graphs below:

- Add Regression Line to ggplot2 Plot
- Add Image to Plot in R
- Add Greek Symbols to ggplot2 Plot
- Plots in R
- Introduction to R Programming

In this R tutorial you have learned how to shade your data points by**adding a confidence band to a graphic created by ggplot2**. In case you have any further questions, kindly let me know in the comments.

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