# The get Function in R (5 Examples)

In this article, I’ll show you **how to use the get function** in R. Let’s first have a look at the basic R syntax and the definition of the get function:

**Basic R Syntax:**

get("x")

**Definition:**

The get function **searches and calls a data object**.

In the following tutorial, I’m going to show you **two examples** for the usage of the get function as well as **three alternative functions** (i.e. get0, mget, and exists).

So without further ado, let’s dive into it!

## Example 1: Apply get R Function to a Vector

The get R function is typically applied to data objects such as vectors, data.frames, or lists.

In this example, I’m going to apply the get command to a vector. So let’s create an example vector first:

x1 <- c(3, 1, 1, 7, 9) # Create example vector

If we want to call (i.e. return) this vector to the RStudio console, we can use the get function as follows:

get("x1") # Apply get function # 3 1 1 7 9

If you need more explanations on this example, you may check out the following YouTube video. In the video, I’m explaining Example 1 in some more detail.

## Example 2: Get Column of a Data Frame

The get function can also be used to call a column from a data frame. Let’s first create some example data:

data <- data.frame(var1 = c(5, 5, 5, 5, 5), # Create example data.frame var2 = c(4, 2, 2, 1, 8))

In order to use the get function for the variables of this data frame, we first need to attach the data:

attach(data) # Attach example data

Now, we can apply the get function as we did in Example 1:

get("var1") # Apply get to column of attached data # 5 5 5 5 5

Note: Don’t forget to detach the data frame after applying get. Otherwise, the rest of your R code might get flawed due to the attachment.

detach(data) # Detach example data

## Alternatives to the get R Function

The R programming language provides several functions, which are **similar but not identical** to the get function. In the following, I’ll show you three of the most commonly used alternatives to the get function.

### Alternative 1: The get0 Function

The get0 function works as the get function, but with the additional option to specify what should happen in case the data object you are searching for is not existent.

Let’s apply get0 to the *x1 vector* that we have created in Example 1:

get0("x1", ifnotfound = "not available") # Apply get0 function # 3 1 1 7 9

As you can see based on the R code above, we specified the option *ifnotfound = “not available”*, i.e. in case x1 would not be available, get0 would return the character string “not available” to the RStudio console.

Let’s try this in practice:

If we apply the get0 function to the data object *y*, which does not exist in our R environment, the get0 function returns “not available:

get0("y", ifnotfound = "not available") # Apply get0 to not available object # "not available"

### Alternative 2: The mget Function

Another alternative to get() is the mget function. In contrast to the get command, mget can be applied to several data objects at the same time.

Let’s first create some further example vectors:

x2 <- c(1, 9, 1) # Create second example vector (numeric) x3 <- c("A", "hello", "mmm") # Create third example vector (string)

The *vector x2* is another numeric vector (as *x1*) and the *vector x3* is a character vector.

Now let’s apply mget to our three example vectors *x1*, *x2*, and *x3*:

mget(c("x1", "x2", "x3")) # Apply mget function

**Figure 1: RStudio Output List Created by the mget Function.**

As you can see in Figure 1, mget returns a list containing our three example vectors.

### Alternative 3: The exists Function

The exists function does only check for the existence of data objects, but it does not return the data object (as the get function does). Let’s try that in an example:

exists("x1") # Apply exists to existent object # TRUE

If we apply exists to the *x1 vector*, the function returns the logical value *TRUE*.

However, if we apply the exists function to *y* (i.e. a data object that is not stored in our global R environment), the exists function returns *FALSE*:

exists("y") # Apply exists to non-existent object # FALSE

Since the exists function is often used among R users, I have written an R tutorial which is dedicated exclusively to the exists function. If you are interested, you can check out the tutorial HERE.

## Video Examples of the get Function

In case you need more examples for the get function, you might want to have a look at the following video of the YouTuber Yi Li. In the video, he is showing you further examples for the application of get in R.

## Further Reading

## 10 Comments. Leave new

thanks for introducing these functions!

Thanks a lot for the positive feedback, Mohamed!

I don’t understand where this is useful.

Is there any advantage to use it instead of print(x) or just x to see results of x.

Alternatively for columns x$col1.

Any sugestions?

Hi Dawid,

The get function is mainly used within user-defined functions or loops, where you cannot specify the name of each data object you want to use.

I hope that makes sense ðŸ™‚

Joachim

In what case would you not be able to specify the name of a data object within a function or loop?

Hi Shannon,

For example, the names of your data objects might be stored on a vector. Then, you could do something like that:

Regards,

Joachim

Hello.

What is the difference between get and eval?

Hey,

The get function simply returns the values stored in the name of a data object.

The eval function evaluates expressions.

Regards,

Joachim

What if i want find the numbers occurring an odd number of times in a dataframe.

Hey Temi,

Please have a look at this tutorial. It’s not exactly what you are looking for, but it should give you a good idea on how to find odd and even numbers in R.

Regards,

Joachim