# Draw Plot with Confidence Intervals in R (2 Examples)

In this tutorial you’ll learn how to plot a data frame with error bars using ggplot2 and plotrix in the R programming language.

Let’s just jump right in.

## Creating Example Data

As first step, we’ll need to create some example data.

```set.seed(923874) # Create example data data <- round(data.frame(x = 1:10, y = runif(10, 10, 20), lower = runif(10, 0, 10), upper = runif(10, 20, 30)), 2) data # Print example data # x y lower upper # 1 1 13.67 6.61 20.95 # 2 2 15.96 1.01 25.75 # 3 3 19.27 3.71 20.50 # 4 4 17.33 3.94 24.63 # 5 5 15.26 8.37 21.05 # 6 6 12.95 9.41 28.52 # 7 7 11.38 3.47 24.64 # 8 8 10.70 3.15 26.73 # 9 9 17.00 3.72 25.80 # 10 10 17.82 7.99 26.33```

The previous RStudio console output shows the structure of our example data. Our data frame consists of ten rows and four columns.

The variables x and y specify the coordinates of our data points. The variables lower and upper contain the confidence intervals of our data points.

## Example 1: Drawing Plot with Confidence Intervals Using ggplot2 Package

This example illustrates how to plot data with confidence intervals using the ggplot2 package.

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

Now, we can use the geom_point and geom_errorbar functions to draw our graph with confidence intervals in R:

```ggplot(data, aes(x, y)) + # ggplot2 plot with confidence intervals geom_point() + geom_errorbar(aes(ymin = lower, ymax = upper))``` As shown in Figure 1, we created a dotplot with confidence intervals with the previous code.

## Example 2: Drawing Plot with Confidence Intervals Using plotrix Package

This example explains how to use the plotrix package to draw a confidence interval plot in R.

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

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

Now, we can apply the plotCI function of the plotrix package as shown below:

```plotCI(x = data\$x, # plotrix plot with confidence intervals y = data\$y, li = data\$lower, ui = data\$upper)``` As shown in Figure 2, the previous code created an xy-plot with confidence intervals using the plotrix package. The values are the same as in Example 1, but the layout of the graphic is different.

## Video, Further Resources & Summary

Would you like to know more about plotting data in R? Then I can recommend to have a look at the following video of my YouTube channel. I’m explaining the R codes of this article in the video.

Furthermore, you may have a look at the other articles of https://www.statisticsglobe.com/.

You learned in this tutorial how to draw confidence intervals to a scatterplot in the R programming language. In case you have further questions, let me know in the comments section.

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