How to sort a vector in R?

How to sort a vector in R?

How to sort a vector in R?

This recipe helps you sort a vector in R


Recipe Objective

Vector is a type of object or data structure in R-language. They are designed to store multiple values of same data-type. For example: if you want to store different 50 food items for each cuisine, you don't need to create 50 variables for each cuisine but just a vector of length 50 of datatype character.

Note: It can not have a combination of any two datatype. It has to be homogeneous in nature.

This recipe demonstrates how to sort a vector

Step 1: Creating a numeric vector

We use combine function "c()" to create a vector

a = c(20,2,45,16,100)

Step 2: Sorting a vector

We use sort() function to sort a vector. By default it sorts the vector in ascending order. For a character vector, the sorting takes places based on the ASCII code of the alphabets used

2 16 20 45 100
20 2 45 16 100

Note: It does not returns the sorted values back to the vector. Hence, we need to create a new vector or update the existing vector.

a = sort(a) a
2 16 20 45 100

To sort it in descending order, we add another arguement "decreasing = True" after this:

a = sort(a,decreasing = TRUE) a
100 45 20 16 2

Relevant Projects

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

German Credit Dataset Analysis to Classify Loan Applications
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Build a Music Recommendation Algorithm using KKBox's Dataset
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Natural language processing Chatbot application using NLTK for text classification
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.

Credit Card Fraud Detection as a Classification Problem
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.