'R provides a wide variety of statistical (linear and nonlinear modelling, classical. This program can either be copied and pasted into the R command line, line by line. The R Project Homepage R Tutorial - web site at Clarkson University. R Commander Tutorial Introduction R is a powerful, freely available software package that allows analyzing and graphing data. However, for somebody who does not frequently use statistical software packages, the big drawback of R is that it is command line based and thus not very intuitive to use. For users who do not use statistical software.
- R Tutorial
- R Data Interfaces
- R Charts & Graphs
- R Statistics Examples
- R Useful Resources
- Selected Reading
As a convention, we will start learning R programming by writing a 'Hello, World!' program. Depending on the needs, you can program either at R command prompt or you can use an R script file to write your program. Let's check both one by one.
R Command Prompt
Once you have R environment setup, then it’s easy to start your R command prompt by just typing the following command at your command prompt −
This will launch R interpreter and you will get a prompt > where you can start typing your program as follows −
Here first statement defines a string variable myString, where we assign a string 'Hello, World!' and then next statement print() is being used to print the value stored in variable myString.
R Script File
Usually, you will do your programming by writing your programs in script files and then you execute those scripts at your command prompt with the help of R interpreter called Rscript. So let's start with writing following code in a text file called test.R as under −
Save the above code in a file test.R and execute it at Linux command prompt as given below. Even if you are using Windows or other system, syntax will remain same.
When we run the above program, it produces the following result.
Comments
Comments are like helping text in your R program and they are ignored by the interpreter while executing your actual program. Single comment is written using # in the beginning of the statement as follows −
R does not support multi-line comments but you can perform a trick which is something as follows −
Though above comments will be executed by R interpreter, they will not interfere with your actual program. You should put such comments inside, either single or double quote.
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