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R CODER
 * Home
 * Learn R
   
      Introduction
   
    * R installation
    * Operators
    * Data types
    * Workspace
    * Working directory
    * Getting help
    * Install packages
   
      Data structures
   
    * Vector
    * Factor
    * List
    * Matrix
    * Data Frame
   
      Data Wrangling
   
    * Sort and order
    * Subset
    * Categorize
    * Split data
    * Aggregate
    * Merge data frames
   
      Programming
   
    * Creating functions
    * If else statement
    * For loop
    * While loop
    * apply function
    * sapply function
    * tapply function
   
      Import & export
   
    * Read TXT files
    * Import CSV files
    * Read Excel files
    * Read SQL databases
    * Export data
   
      Graphics
   
    * plot function
    * Scatter plot
    * Bar plot
    * Histogram
    * Density plot
    * Box plot
    * Save plot

 * Tutorials
   Introduction Data wrangling Graphics Statistics See all
 * Functions
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 * About
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ALL ABOUT R PROGRAMMING


R CODER

Begin your data science career with R language!

Install R and RStudio Learning Path



WHAT KIND OF CONTENT DO WE PROVIDE?


INTRODUCTION TO R

Are you a beginner in R programming? This tutorials offer you the basic contents
to be able to continue learning R


DATA WRANGLING

When carrying out a statistical study, it is necessary to transform raw data
into data with the appropriate format. Learn how to import, export and
manipulate data


GRAPHICS

Statistical graphs are very useful to initially understand certain
characteristics of the data. Learn about the different types in this section


STATISTICS

Once the data have been transformed for analysis and the exploratory analysis
has been performed, it's time to apply statistical techniques to detect
characteristics or patterns


LEARN R FROM EXPERTS


CONTENT DEVELOPED BY EXPERTS

All contents are developed and updated by experts in data science with
experience developing computational advances in Statistics and Operations
Research


WIDE VARIETY OF TOPICS

A wide range of topics related to R programming and its statistical applications
in different fields, like Biologics or Economics are covered


BASICS AND ADVANCED TUTORIALS

There are tutorials for different levels. If you are new to R programming
language check the Learn R page. If not, check all tutorials to look for more
advanced content

BECOME A HIGHLY DEMANDED EXPERT


START YOUR DATA SCIENCE CAREER

R programming is one of the most popular languages worldwide and R programmers
have high salaries and are very demanded in the labour market.

$86.844
Median salary for R programmers (2023) Source: www.salary.com
17th
Most popular programming language (2023) Source: www.tiobe.com
Start now ➔



FAQ

Frequently Asked Questions


WHAT IS R PROGRAMMING LANGUAGE?

The R programming language is a powerful open source and free software. Using R
you have full control over your studies, making it a completely flexible
software for your needs.

The language syntax is very simple, allowing studies to be carried out by all
types of users even if they are not expert programmers. Together with the
RStudio editor, which provides additional facilities and functionalities, makes
R a suitable language for scientific studies.

R allows to disclose scientific research by creating new packages. In addition
to the base functionalities, there are more than 10,000 R packages created by
users published in the official R repository.

The community of R users is very large: numerous conferences, workshops and
seminars are held where developers expose and present new applications.


WHAT IS R PROGRAMMING LANGUAGE USED FOR?

The variety of applications that the R programming language has is huge.

On the one hand, in R you can perform from simple mathematical calculations to
complex simulation studies, in addition to having the ability to make fully
customizable graphics.

On the other hand, in R you can create high quality dynamic documents with
RMarkdown, both in HTML and PDF, presentations with Sweave or RevealJS or web
applications with Shiny.


WHY USE R PROGRAMMING LANGUAGE?

If you are wondering what are the benefits of R programming you should know that
the fields of study in which an R programmer can gain a great competitive
advantage are very broad. Among them we highlight studies in biostatistics,
quantitative finance, engineering, econometrics, psychology, medicine,
cybersecurity, among others.

Regarding statistical techniques, R can be used for classical techniques, such
as time series analysis, hypothesis testing, sampling and any type of analysis,
as well as machine learning, for prediction and classification (for example
image classification), or even for Big Data.


WHO USES R LANGUAGE?

R is used daily by hundreds of thousands of users, from students, researchers,
professors and even businessmen who wants analyze the data they handle. In
addition, R is used by a multitude of international companies, such as NASA,
Wallmart, Samsung, NBC, ebay, among many others.


WHERE TO LEARN R PROGRAMMING LANGUAGE?

You can learn R with this website. If you are are a beginner we offer a
structured set of basic tutorials that are a complete free R course, so anyone
who wants to can get started with R programming language. We also provide
tutorials for more advanced or intermediate level users so they can expand his
knowledge. For that purpose we have created a website structure based on
categories so the contents are easy to locate on the web.

Resources

 * Introduction
 * Data Wrangling

 * Graphics
 * Statistics

Other resources

 * R CHARTS
 * PYTHON CHARTS

Legal & Contact

 * Legal advice
 * Contact

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