# exp Function in R (4 Examples)

This tutorial shows how to **compute exponentials using the exp function** in R.

The content looks as follows:

If you want to learn more about these content blocks, keep reading:

## Example 1: Basic Application of the exp() Function

This example demonstrates how to compute the exponential of a numeric value using the exp function in R.

Letâ€™s assume that we want to calculate the exponential of the value 5. Then, we can apply the exp function as shown below:

exp(5) # Apply exp function # [1] 148.4132

The previous output of the RStudio console shows the result: The exponential of 5 is 148.4132.

## Example 2: Apply exp() Function to Vector Object

In this example, Iâ€™ll illustrate how to use the exp command to calculate the exponential of all elements in a vector object.

Have a look at the following R syntax and its output:

exp(1:10) # Apply exp function to vector # [1] 2.718282 7.389056 20.085537 54.598150 148.413159 # [6] 403.428793 1096.633158 2980.957987 8103.083928 22026.465795

The result of the previous code is a vector containing ten values. Each of these values corresponds to one of the values in our input vector.

## Example 3: Draw Output of exp() Function in Point & Line Plot

The following code shows how to visualize the exponential function in a graphic.

For this, we can use the plot, lines, and exp functions as illustrated below:

plot(x = 1:10, # Plot output of exp function y = exp(1:10)) lines(x = 1:10, # Add lines to plot y = exp(1:10))

As shown in Figure 1, the previous R syntax has drawn a point and line chart of the exponential values of our input vector.

## Example 4: Basic Application of the expm1() Function

The R programming language provides another function for the computation of exponential values minus 1, which is called expm1.

This function calculates exp(x) â€“ 1 accurately, even for |x| ï¼œï¼œ 1.

In this example, Iâ€™ll show how to apply the expm1 to a vector containing a range from 1 to 10 (i.e. the same vector as in Example 2):

expm1(1:10) # Apply expm1 function # [1] 1.718282 6.389056 19.085537 53.598150 147.413159 # [6] 402.428793 1095.633158 2979.957987 8102.083928 22025.465795

The output is the same as the output in Example 2 minus the value 1Â´.

## Video, Further Resources & Summary

If you need more explanations on the topics of this article, I recommend having a look at the following video on my YouTube channel. In the video tutorial, I demonstrate the R programming syntax of this tutorial.

**Please accept YouTube cookies to play this video.** By accepting you will be accessing content from YouTube, a service provided by an external third party.

If you accept this notice, your choice will be saved and the page will refresh.

Furthermore, you could read the related tutorials on this homepage. You can find some tutorials below:

- Natural, Binary & Common Logarithm
- Exponential Distribution in R
- Disable Scientific Notation in R
- Force R to Show Scientific Notation
- Important Commands in R
- R Programming Examples

In this R programming tutorial you have learned how to **apply the exp function**. In case you have additional questions, tell me about it in the comments section.

### Statistics Globe Newsletter