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.
