What does seq along do in R

This recipe explains what does seq along do in R

Recipe Objective

What does seq_along do?

The seq_along () function is used for generating a sequence of elements the same as that of the length of the input vector. **Syntax: seq_along (x)** seq_along (x) will take a vector for x, and will give an output that creates a sequence of elements in the defined vector. This recipe demonstrates an example of seq_along in R.

Comprehensive List of Computer Vision Project Ideas for Data Enthusiasts

Step 1 - seq_along()

x <- c(1,2,3,4,5) seq_along(x)

"Output of code :"
1 2 3 4 5

y <- c(0:20) seq_along(y)

"Output of code :"
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21

LETTERS[1:10]

"Output of code:"
'A' 'B' 'C' 'D' 'E' 'F' 'G' 'H' 'I' 'J'

seq_along(LETTERS[1:10])

"Output of code :"
1 2 3 4 5 6 7 8 9 10

{"mode":"full","isActive":false}

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Build Multi Class Text Classification Models with RNN and LSTM
In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.

Build a Review Classification Model using Gated Recurrent Unit
In this Machine Learning project, you will build a classification model in python to classify the reviews of an app on a scale of 1 to 5 using Gated Recurrent Unit.

AWS Project to Build and Deploy LSTM Model with Sagemaker
In this AWS Sagemaker Project, you will learn to build a LSTM model on Sagemaker for sales forecasting while analyzing the impact of weather conditions on Sales.

Build CNN Image Classification Models for Real Time Prediction
Image Classification Project to build a CNN model in Python that can classify images into social security cards, driving licenses, and other key identity information.

Mastering A/B Testing: A Practical Guide for Production
In this A/B Testing for Machine Learning Project, you will gain hands-on experience in conducting A/B tests, analyzing statistical significance, and understanding the challenges of building a solution for A/B testing in a production environment.

Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

Linear Regression Model Project in Python for Beginners Part 1
Machine Learning Linear Regression Project in Python to build a simple linear regression model and master the fundamentals of regression for beginners.

Learn How to Build a Linear Regression Model in PyTorch
In this Machine Learning Project, you will learn how to build a simple linear regression model in PyTorch to predict the number of days subscribed.

Build a Text Classification Model with Attention Mechanism NLP
In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.

FEAST Feature Store Example for Scaling Machine Learning
FEAST Feature Store Example- Learn to use FEAST Feature Store to manage, store, and discover features for customer churn prediction machine learning project.