In this tutorial, we will look at how to create a vector of zeros (having 0 as its elements) in R with the help of some examples.
How to create a vector of zeros in R?
There are multiple ways to create a vector for zeros. Some of the functions that can help you create a vector of zeros in R are – c(), integer(), numeric(), rep(), etc.
Let’s look at these methods with the help of examples.
Using the c() function
The c() function is used to combine different values (and/or vectors) into a vector. If you want to create a vector of zeros with a relatively smaller length, you can use the c() function.
For example, let’s use the c() function to create a vector of four zeros.
# create a vector of zeros vec <- c(0, 0, 0, 0) # display the vector print(vec)
Output:
[1] 0 0 0 0
We get a vector of four zeros. Note that, manually typing zeros can become cumbersome when you want to create a vector of zeros of a larger length. In such cases, you can use the methods described below.
Using the integer()function
Pass the length of the vector as an argument to the integer() function. For example, let’s create a vector of four zeros.
Introductory ⭐
- Harvard University Data Science: Learn R Basics for Data Science
- Standford University Data Science: Introduction to Machine Learning
- UC Davis Data Science: Learn SQL Basics for Data Science
- IBM Data Science: Professional Certificate in Data Science
- IBM Data Analysis: Professional Certificate in Data Analytics
- Google Data Analysis: Professional Certificate in Data Analytics
- IBM Data Science: Professional Certificate in Python Data Science
- IBM Data Engineering Fundamentals: Python Basics for Data Science
Intermediate ⭐⭐⭐
- Harvard University Learning Python for Data Science: Introduction to Data Science with Python
- Harvard University Computer Science Courses: Using Python for Research
- IBM Python Data Science: Visualizing Data with Python
- DeepLearning.AI Data Science and Machine Learning: Deep Learning Specialization
Advanced ⭐⭐⭐⭐⭐
- UC San Diego Data Science: Python for Data Science
- UC San Diego Data Science: Probability and Statistics in Data Science using Python
- Google Data Analysis: Professional Certificate in Advanced Data Analytics
- MIT Statistics and Data Science: Machine Learning with Python - from Linear Models to Deep Learning
- MIT Statistics and Data Science: MicroMasters® Program in Statistics and Data Science
🔎 Find Data Science Programs 👨💻 111,889 already enrolled
Disclaimer: Data Science Parichay is reader supported. When you purchase a course through a link on this site, we may earn a small commission at no additional cost to you. Earned commissions help support this website and its team of writers.
# create a vector of zeros vec <- integer(4) # display the vector print(vec)
Output:
[1] 0 0 0 0
You can see that we pass 4 as an argument to the integer() function. We get a vector of four zeros. Note that, here, the resulting data type of values is integer and not numeric (that we get in the other methods).
Using the numeric() function
You can similarly use the numeric() function to create a vector of zeros. It also takes the length of the vector you want to create as an argument. Let’s look at an example.
# create a vector of zeros vec <- numeric(4) # display the vector print(vec)
Output:
[1] 0 0 0 0
We get the same result as above.
Using the rep() function
The rep() function is used to replicate a value a specified number of times.
To create a vector of zeros using the rep() function, pass 0 as the first argument and the vector length as the second argument. For example, let’s use the rep() function to create a vector of four zeros.
# create a vector of zeros vec <- rep(0, 4) # display the vector print(vec)
Output:
[1] 0 0 0 0
We get the same result as above.
You might also be interested in –
- R – Remove NA Values from a Vector
- Create a Vector in R – With Examples
- R – Get Element by Index in a Vector
- R – Get Index of an Element in a Vector
Subscribe to our newsletter for more informative guides and tutorials.
We do not spam and you can opt out any time.
