Write, Run & Share R Language code online using OneCompiler's R Language online compiler for free. It's one of the robust, feature-rich online compilers for R language, running on the latest version 3.4. Getting started with the OneCompiler's R Language compiler is simple and pretty fast. The editor shows sample boilerplate code when you choose language as R and start coding.
R is very popular for data analytics which was created by Ross Ihaka and Robert Gentleman in 1993. Many big companies like Google, Facebook, Airbnb etc uses this language for data analytics. R is good for software developers, statisticians and data miners.
Key Features
- Interpreted programming language(no compilation required)
- provides highly extensible graphical techniques.
- Good community support
- Free and open-source
- Handles data very effectively.
Data Types
| Data type | Description | Usage |
|---|
| Numeric | To represent decimal values | x=1.84 |
| Integer | To represent integer values, L tells to store the value as integer | x=10L |
| Complex | To represent complex values | x = 10+2i |
| Logical | To represent boolean values, true or false | x = TRUE |
| Character | To represent string values | x <- "One compiler" |
| raw | Holds raw bytes | |
Variables
Variables can be assigned using any of the leftward, rightward or equal to operator. You can print the variables using either print or cat functions.
var-name = valuevar-name <- valuevalue -> var-name
Loops
1. IF Family:
If, If-else, Nested-Ifs are used when you want to perform a certain set of operations based on conditional expressions.
If
if(conditional-expression){ #code }
If-else
if(conditional-expression){ #code if condition is true } else { #code if condition is false }
Nested-If-else
if(condition-expression1) { #code if above condition is true } elseif(condition-expression2){ #code if above condition is true } elseif(condition-expression3) { #code if above condition is true } ... else { #code if all the conditions are false }
2. Switch:
Switch is used to execute one set of statement from multiple conditions.
switch(expression, case-1, case-2, case-3....)
3. For:
For loop is used to iterate a set of statements based on a condition.
for (value in vector) { # code }
4. While:
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while(condition) { # code }
5. Repeat:
Repeat is used tyo iterate a set of statements with out any condition. You can write a user-defined condition to exit from the loop using IF.
repeat { #code if(condition-expression) { break } }
Functions
Function is a sub-routine which contains set of statements. Usually functions are written when multiple calls are required to same set of statements which increases re-usuability and modularity.
How to define a Function
func-name <- function(parameter_1, parameter_2, ...) { #code for function body }
How to call a Function
function_name (parameters)
Vectors
Vector is a basic data strucre where sequence of data values share same data type.
For example, the below statement assigns 1 to 10 values to x.
You can also use se() function to create vectors.
x <- 1:10
#using seq() function x <- seq(1, 10, by=2)
the above statement prints the output as [1] 1 3 5 7 9.
FAQs
The learning curve for R programming is steep due to its unique syntax and extensive set of commands, requiring most new learners to spend four to six weeks mastering it.
Is R the hardest programming language? ›
Learning R is considered one of the more challenging programming languages to master. This is because its syntax is quite different from other coding languages.
Is online compiler good? ›
Benefits of using Online Compiler
There is no need for configuration. The Administration is not required. It is accessible from any location. It is capable of sharing resources.
Is R easier than Python? ›
Both Python and R are considered fairly easy languages to learn. Python was originally designed for software development. If you have previous experience with Java or C++, you may be able to pick up Python more naturally than R. If you have a background in statistics, on the other hand, R could be a bit easier.
Can I learn R in a week? ›
This is enough time to learn the basics and feel comfortable with your new skills. On the other hand, if you have some experience with programming, then spending 15–30 minutes a day for a few weeks will be enough to get up to speed with R.
Can I learn R in 3 months? ›
For learners with programming experience, you can become proficient in R within a couple weeks or less. Brand new programmers may take six weeks to a few months to become comfortable with the R language.
Is the R language dying? ›
The truth is, R is far from dead. While it's true that Python has gained significant traction in recent years, R remains a powerful language that offers unique benefits for data scientists. One of the critical advantages of R is its focus on statistics and data visualization.
Is R easier than Java? ›
Learning R can be daunting, especially if you're new to programming or statistics. Learning Java is easy because it follows established programming principles and has a structured learning curve.
Which is the toughest language in coding? ›
7 Hardest Programming Languages to Learn in 2024
- C++
- Malbolge.
- Haskell.
- INTERCAL.
- BrainF**k.
- COW.
- Whitespace.
If you're talking about the speed of the compiler and compiler-based tools, C++ wins hands down. It has a more complicated syntax and more features than C#, but it also has an incredibly powerful toolchain. However, if you're talking about running code once it's compiled and deployed, C# is faster.
The best compilers will automatically save your source code and any changes you make to it, even while the build is in progress.
What is the best compiled language for beginners? ›
JavaScript and Python, two of the most popular languages in the startup industry, are in high demand. Most startups use Python-based backend frameworks such as Django (Python), Flask (Python), and NodeJS (JavaScript). These languages are also considered to be the best programming languages to learn for beginners.
Should I learn R or SQL first? ›
If you are interested in doing statistical analysis and data visualization, then R would be a good choice. If you are interested in working with databases, then SQL would be a better choice. If you are unsure which one to choose, you could consider learning both, as they can be used together in many different ways.
Why pick R over Python? ›
Python is much more straightforward, using syntax closer to written English to execute commands. However, R makes it easier to visualize and manipulate data if you have other languages under your belt. It's statistics-based, so the syntax here is more straightforward for analysis.
Do people still use R? ›
R is popular among data analysts and research scientists as it helps them import and clean data and perform effective quantitative analyses. Moreover, R coding was among the top five programming languages of the year as of August 2021. Apart from this, many reasons make R so useful.
How long does it take to learn R? ›
I've often been asked: “how long does it take to learn R?” I've never had a good answer ... until now. Here's my answer: 3 months. Give me 3 months and I'll get you to the point where you can use R for all of your data work.
Why can't I learn R? ›
R's built-in approach is far more complex. It requires you to create a macro-like function that does the analysis steps you need. Then you apply that function by group. Other languages let you avoid learning that type of programming until you're doing more complex tasks.
Is it possible to learn R by yourself? ›
A great way to learn proper programming practices is by reading books. An advantage of books is that they often represent an expert voice, the skill of the community, or both. Most good books for learning programming in R will contain code examples that you can use to sharpen your skills.
Is R harder than Excel? ›
Most people already learned the basics of Microsoft Excel in school. Once the data has been imported into an Excel sheet, using a point-and-click technique we can easily create basic graphs and charts. R, on the other hand, is a programming language with a steeper learning curve.
