R is a programming language for statistical computer and it comes with the environment which is used for statistical computing. R Programming comes with a software environment which is used to run R program for statistical computing, analysis, generation of visual graphs and scientific research.
In the field of data science and data analysis this framework is used very extensively to analyze data. This framework is one of the best and open source framework for statistical computing. R Programming can be used in following ways:
R Programming language is popular because:
Who should learn R?
Software programmers, statisticians and data miners should learn R Programming language to develop next generation software for data analysis. This tutorial covers basics and advanced topics of R programming which is essential in developing analytics software.
R programming language is used for statistical computing and anyone learning this programming language should have mathematics knowledge. Students should have prior programming experience in any programming language.
All the programming language offers their data structures for easy programming, in this session we will learn about R Data Structures
In this session we will learn how to use data from various sources in R Programming language. Following topics are covered:
In this session we will learn to manipulate data through R Programming. Topics covered are:
In this session we will learn about various functions provided with the R Programming languages, here are the topics:
In this section we will learn about looping and control statement of R Programming language. Following topics are covered:
Finally we will learn how to represent the data using various charts and plots offered in R Programming Language. In this session following topics are covered:
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Posted on: June 24, 2017 If you enjoyed this post then why not add us on Google+? Add us to your Circles