Introduction
When working with R, you may encounter the error message:Error: invalid (NULL) left side of assignment
.
This error typically occurs when you mistakenly assign a value to a NULL
object or when trying to modify a NULL
object inappropriately. In this post, we’ll walk through an example that reproduces this error and discuss how to solve it.
Example 1: Assigning a Value to a Function
A common scenario where this error occurs is when you mistakenly attempt to assign a value to a function call. Consider the following example:
exp() <- 8
This produces the error:
Error in exp() <- 7 : invalid (NULL) left side of assignment
Here, exp()
is a function that calculates the exponential of a number. R expects a valid object on the left side of the assignment, but since functions cannot store values, attempting to assign a value to a function call causes this error.
Solution to Example 1:
To fix the issue in the first example, if you want to store the result of a function like exp()
, assign the result to a variable:
result <- exp(2) # Correct way to store function result
Here, result
will store the exponential of 2, and no error will occur.
Example 2: Improper Use of NULL
Another situation where this error might occur is when trying to assign a value to an object that is explicitly NULL
. For example:
NULL[[1]] <- "data"
This code raises the error:
Error: invalid (NULL) left side of assignment
In this case, you’re trying to index into NULL
, which is not a valid object for assignment. NULL
represents the absence of value and cannot hold data in this way.
Solution for Example 2:
In the second example, to assign a value to an object, you need to initialize it as a list or vector, which are valid structures that can hold data:
my_list <- list() # Initialize an empty list my_list[[1]] <- "data" # Successful assignment
Now the assignment works because my_list
is a list, and lists can be indexed and modified in R.
Conclusion
The “invalid (NULL) left side of assignment” error arises when you attempt to assign a value to an object that cannot store it, such as a function call or a NULL
object. To fix this, ensure the left side of your assignment is a valid, initialized object like a list or vector. For function calls like exp()
, remember that you can only store results in variables, not functions themselves.
Congratulations on reading to the end of this tutorial!
For further reading on R-related errors, go to the articles:
- How to Solve R Error as.Date.numeric(x) : ‘origin’ must be supplied
- How to Solve R Error: Incorrect number of dimensions
- How to Solve R Error in scan: Line 1 did not have X elements
- How to Solve R Error: ggplot2 doesn’t know how to deal with data of class character
- How to Solve R Error: StatBin requires a continuous x variable: the x variable is discrete. Perhaps you want stat=”count”?
Go to the online courses page on R to learn more about coding in R for data science and machine learning.
Have fun and happy researching!
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.