EDUCBA

EDUCBA

MENUMENU
  • Blog
  • Free Courses
  • All Courses
  • All in One Bundle
  • Login
Home Data Science Data Science Tutorials R Programming Tutorial Install R

Install R

By Priya PedamkarPriya Pedamkar

Install R

Introduction to Install R

The following article provides an outline for Install R. R is one of the most commonly used statistics software that comes for free in the market. It is the most commonly used open-source statistical analysis tool that is available in the market. It supports analysis as a simple programming or an interactive mode.

Prerequisites of Installing R

R program needs to be installed on the computer to be used.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

Verify R is already installed on the windows machine:

Prior to installing R on the machine, the first thing to do is verify whether it is already installed. Below are the steps to verify whether it is installed in the machine or not:

  • First, verify whether the R icon is available on the desktop of the computer. If so, R is already installed in the machine and can be run by double-clicking on the icon.
  • Verify if the R icon is available in the start menu. It can be selected by first clicking to the start menu of the windows desktop, then the all programs menu, and it will pop up a list where the R icon will appear. It can be run by selecting the icon.

If either of the above steps has not succeeded in starting the R program, it indicates that R is not installed on the system and has to be installed for use.

The next task is finding out the latest version of the R program. The CRAN or comprehensive R network website list all the version of the R, where the desired version can be selected. There is also an option to get the latest release which can also be leveraged in case one is not aware of which version to use. R has been releasing new versions regularly, and it is actively improved over time. Therefore, it is always recommendable to regularly install the latest version to ensure compatibility with all the R packages downloaded.

Steps for Installing R on Windows

Below are the steps for installing R on Windows machine:

Step 1: Browse the below website to get the latest R version. Website – http://ftp.heanet.ie/mirrors/cran.r-project.org/

Step 2: There will be a download and install R option where we need to click the windows link.

Step 3: From the list of the sub-directories, we need to select the base link.

Step 4: The next page will show a link showing something like R 2.10.1 for Windows. The x.x.x denotes the version of R. Select the link to proceed further.

Step 5: There will be an option to select whether we want to save or run the file R-2.10.1- win 32.exe. First, we have to save the file on the path where we wish. Next double click on the icon of the file to run the setup.

Step 6: On being asked about what language to choose, please choose English.

Step 7: The setup wizard will appear in a window where we need to choose next to proceed with the setup.

Step 8: The next page on the wizard will show information on the top.

Step 9: Please click next to continue with the setup.

Step 10: The following page will ask to select the destination location where we want to install R. By default, the location will be the program files folder in the C drive on the system. Location- c:\program files.

Step 11: After that, click next.

Step 12: The following page will ask to select components on the top. Click next to continue with the setup.

Step 13: The following page will prompt for startup options. Click next to continue with the setup.

Step 14: The following page will ask to select the start menu folder. Click next to continue with the setup.

Step 15: The following page will ask to select additional tasks. Click next to continue with the setup.

Step 16: This Should install R on the machine. It will take some time, and after that, it will show completing the windows setup. Click Finish to end the setup.

Step 17: Select either of the below steps to start R.

Step 18: Find the R icon on the desktop and double-click on the icon to start the program. If the R icon is not available on the desktop to follow the below step.

Step 19: Select the start menu; from there, select the all programs option; after that, you will find the R icon. Click on the icon to run the program.

Step 20: R console like below will appear, and the R program will get started.

install r 1

Brief Working Knowledge on R

Given below gives brief working knowledge on R:

1. The R commands have to be written into the console for carrying out different analyses. Blue is an example of an R prompt. The commands are submitted by pressing the enter key.

Install R 2

2. After starting up R, commands can be submitted into the console, and the results will be calculated immediately. Below are a few examples:

> 2*3
[1] 6
> 10-3
[1] 7

3. All variables, including scalars, vectors, matrices, etc., that are created by R are called objects. Values to variables are assigned using an arrow in R. For example, we can assign the value 2*3 to the variable x using the below command.

> x <- 2*3

4. For viewing the content of any object only typing its name is enough, and the contents will be displayed. Below is an example:

> x
[1] 6

5. Their different types of objects in R like arrays, matrices, vectors, scalars, lists, tables, and data frames. The scalar variable text shown above is an example of an R object. Unlike a scalar variable that contains a single element, a vector consists of several elements. The elements that are stored in a vector is of the same type as numeric or characters. A list consists of different types of elements consisting of both numeric or character.

6. R offers a help function, and it can be used to get the details of any command and its usage. Below is an example of getting help for the log function:

> help("log10")

7. When someone is not sure of the exact function or knows it partially, it can be searched with either help.search() and RSiteSearch() functions.

Recommended Articles

This is a guide to Install R. Here we discuss the basic concept, prerequisites, step by step process of installation, and brief knowledge on how it works. You may also look at the following articles to learn more –

  1. R for data science
  2. Data Link Layer Protocol
  3. Data Preparation Tools
  4. Fundamentals of Data Structure
All in One Excel VBA Bundle
500+ Hours of HD Videos
15 Learning Paths
120+ Courses
Verifiable Certificate of Completion
Lifetime Access
Financial Analyst Masters Training Program
1000+ Hours of HD Videos
43 Learning Paths
250+ Courses
Verifiable Certificate of Completion
Lifetime Access
All in One Data Science Bundle
1500+ Hour of HD Videos
80 Learning Paths
360+ Courses
Verifiable Certificate of Completion
Lifetime Access
All in One Software Development Bundle
3000+ Hours of HD Videos
149 Learning Paths
600+ Courses
Verifiable Certificate of Completion
Lifetime Access
Primary Sidebar
All in One Data Science Bundle1500+ Hour of HD Videos | 80 Learning Paths | 360+ Courses | Verifiable Certificate of Completion | Lifetime Access
Financial Analyst Masters Training Program1000+ Hours of HD Videos | 43 Learning Paths | 250+ Courses | Verifiable Certificate of Completion | Lifetime Access
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2023 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

By continuing above step, you agree to our Terms of Use and Privacy Policy.
*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you
EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more