When we start to learn any programming languages we do follow a tradition to begin HelloWorld as our first basic program. Here we are going to learn that tradition. An interesting thing about R programming is that we can get our things done with very little code.
Before we start to learn to code, let’s see the process of where to download the needed Softwares and programs.
- Go to the official site of R programming and download R for windows(or Mac).
- Install IDE like Rstudio, RTVS, StatET for running programs(you can download Rstudio here).We can write and run programs in IDE, but you have to download R before installing IDE.
For the HelloWorld program, we just need a print function. No need of any packages or main functions, just a simple print function is enough.
print() is a function which is used to print the values on to the output screen. It also has arguments, we can use it if needed. For example, in the above program, the output is printed with quotes by default we can remove it if needed.
We passed the argument named quote in print function which value is set to be false to remove the quotes.
Different ways to run a R program
There are many ways to run an R program:
- Method 1: Using command prompt or terminal
Write your code in notepad or any text editor, save it as “helloworld.r”,
Run it in command prompt or terminal using the command “Rscript helloworld.r”.
- Method 2: Using an online IDE
There are many online IDEs(click here) available. We can use that without the need of installing or downloading anything.
- Method 3: Using IDE like Rstudio, RTVS, StatET
You can download and install these IDE in your system and can write and run the program there. Rstudio & statET(Eclipse software)is available for Windows, Mac, and Linux. RTVS presently available only on windows.
- Hello World Program in Perl
- Hello World in Julia
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- Get Exclusive Elements between Two Objects in R Programming - setdiff() Function
- Intersection of Two Objects in R Programming - intersect() Function
- Add Leading Zeros to the Elements of a Vector in R Programming - Using paste0() and sprintf() Function
- Clustering in R Programming
- Compute Variance and Standard Deviation of a value in R Programming - var() and sd() Function
- Compute Density of the Distribution Function in R Programming - dunif() Function
- Compute Randomly Drawn F Density in R Programming - rf() Function
- Data Handling in R Programming
- Return a Matrix with Lower Triangle as TRUE values in R Programming - lower.tri() Function
- Print the Value of an Object in R Programming - identity() Function
- Check if Two Objects are Equal in R Programming - setequal() Function
- Concept of Comments in Computer Programming
- Modular Approach in Programming
- How to read Competitive Programming Questions?
- Introduction of Programming Paradigms
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