This error occurs when you call the rep function to replicate data, but the value you provide to replicate the number is not a positive real number. You can solve this problem by ensuring that the number is a single, positive real number.
This tutorial will go through the error and how to solve it with code examples.
Table of contents
The rep() Function in R
The rep function replicates elements of vectors and lists. The times
parameter of the function needs to be a non-negative number.
Example #1: Using a negative number as the times argument in rep
Consider the following example of using the rep()
function to replicate the number 1 four times.
val <- rep(1, 4) val
Let’s run the code to see what happens:
1 1 1 1
We successfully retrieved a numeric vector of length 4
consisting of the number 1
.
Let’s try to use a negative number for the times
parameter.
val <- rep(1, -4) val
Let’s run the code to see the result:
Error in rep(1, -4) : invalid 'times' argument
The error occurs because we set the times
argument to a negative number when it needs to be a non-negative value only.
Solution
We can solve the error by using a positive value for the times
argument. Let’s look at the revised code:
val <- rep(1, 4) val
Let’s run the code to see the result:
[1] 1 1 1 1
We successfully retrieved a numeric vector of length 4
consisting of the number 1
.
Example #2: Using NA as the times argument in rep
The error can also occur if we use a NA
value as the times
argument. Consider the following example:
val <- rep(1, NA) val
Let’s run the code to see the result:
Error in rep(1, NA) : invalid 'times' argument
Solution
We can solve this error by replacing the NA
value with a valid non-negative number.
val <- rep(1,5) val
Let’s run the code to see the result:
[1] 1 1 1 1 1
We successfully retrieved a numeric vector of length 5
consisting of the number 1
.
Summary
Congratulations on reading to the end of this tutorial! If you encounter this error when passing a variable as the times
argument in the rep function, check if the value is negative or NA
beforehand, then replace it with a valid non-negative number.
Go to the online courses page on R to learn more about coding in R for data science and machine learning.
For further reading on data analysis with R, go to the article: How to Download and Plot Stock Prices with quantmod in R
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.