R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.
It is one of the most popular languages used by statisticians, data analysts, researchers and marketers to retrieve, clean, analyze, visualize and present data.
Due to its expressive syntax and easy-to-use interface, it has grown in popularity in recent years.
you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
This App is covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
This is a difficult question to answer. Many researchers are learning R as their first language to solve their data analysis needs.
Thats the power of the R programming, it is simple enough to learn as you go. All you need is data and a clear intent to draw a conclusion based on analysis on that data.
In fact, R is built on top of the language S programming that was originally intended as a programming language that would help the student learn to program while playing around with data.
However, programmers that come from a Python, PHP or Java background might find R quirky and confusing at first. The syntax that R uses is a bit different from other common programming languages.
R Programming - Project based Tutorials Point Application Include Categories :-
- Learn R Programming Basic And Advanced Tutorials.
- Learn R Statements And R Loops.
- Data Structures In R.
- R Data Interfaces.
- R Data Visualization.
- R Regression.
- R Statistics.
- R Practice Programs.
- R Interview Questions And Answer.
- R Code Area.
App Features :-
its Completly Free.
This App Work Offline.
Easy To Understand.
Very Small Size App.
See The Process Images And Example And Description.
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