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R is a Multi-paradigm programming language designed by Ross Ihaka and Robert Gentleman. R programming language is also a software environment for statistical computing and graphics which was developed by R core team. The R course is commonly used in statisticians and miners to develop data analysis as well as statistical software. R language can be well understood by R course online.

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R COURSE ONLINE B E S T O N L I N E C O U R S E S C O U P O N . C O M
PRESENTATION OVERVIEW About R programming language Features Environment setup R data types,Variable,Operators Decision making and looping Function,List,Matrices and arrays Factors and packages Data interfaces in R programming language R graphs and charts R statistics 
ABOUT R PROGRAMMING LANGUAGE R is a multi-paradigm and open source programming language, and it is a software environment which is mainly designed for statistical computing and graphics. This R programming language was created by Ross Ihaka and Robert Gentleman, and it was originally released in the year 1993.
R is not only a programming language but also a software environment which is helpful for creating a statistical analysis, graphical representation, and reporting. R is a simple and well developed interpreted programming language which uses many useful concepts such as loops, conditionals, recursive functions to perform several tasks. F E A T U R E S
Environment Setup By using the link https://cran.r- project.org/bin/windows/base/, the developers can download the Windows installer version of R for Windows 32 bit and 64 bit. If you don’t want to set up your environment for R programming language, then you the R environment which is readily available in online.
R DATA TYPES The variables are used in all programming languages to store the values of various data types. Just the variables are called as reserved memory locations. Unlike C and Java, R programming language does not declare the data types to variables. Some of the commonly using data types are character, raw, complex, integer, numeric, logical. 
VARIABLES In R programming language, the variables are used to store an atomic vector, combination of R objects or a group of atomic vectors. The variable names usually start with letters not with numeric numbers, and it does not allow any special characters without underscore and dot. 
OPERATORS R operators are symbols used to perform mathematical and logical operations. Types of operators Arithmetic operators Relational operators Logical operators Miscellaneous operators Assignment operators
DECISION MAKING AND LOOPING Decision Making - The decision- making statements are used by the programmers to test the conditions which are mentioned above the group of statements. If the condition is true, then the group of statements will be executed to obtain optimum results.  Loop statements -are used by the programmers to repeat the same task for several numbers of times. 
FUNCTION A proper function is a group of statements which are executed by calling the particular function name to attain a specific task. In R programming language, the function is created by using the keyword called the function. components of function:   Function name,Arguments,Function body,     Return type .
LIST list is created by using the function named list( ).  Then the list has various types of elements such as numbers, vectors, strings, and a list within the list. Sometimes, the matrix or function is also called as the elements of lists. 
Matrices and arrays The array is also an R data objects which is used to store the data in more than two dimensions. The array ( ) function is used to create an array. Matrix is one of the objects of R where the elements are arranged in the 2-D rectangular layout. The matrix( ) function is used to create a matrix.
FACTORS AND PACKAGES The factor is also the R objects that are used to sort out and store the data easily. Factors are store both integer as well as strings.  The R packages are the collection of R functions, sample data, and the compiled code. These packages are stored in the directory called the library. 
Data interfaces R programming language, the programmers can read the data from the file and store up in the outside of the R environment. the programmers can write data in the file which are stored and accessed by the operating system. So the developers can read and write data in many file formats such as Excel, CSV, XML, etc.
R GRAPHS AND CHARTS The R programming language is used to create many types of graphs and charts using various libraries. The graphs and charts are usually used to represent the data in the form of the picture so that the data can be analyzed easily without any confusion.
R STATISTICS The statistical analysis in R programming language is performed by using various built-in functions such as mean, median, and mode. R programming language supports the commonly used statistical concepts such as linear regression, multiple regression, binomial distribution, poison regression, normal distribution, logistic regression, etc.
R COURSE ONLINE 2017 R Programming For Data Science With Real Exercises Statistics With R Course For Beginners Data Science And Machine Learning Bootcamp With R Programming Language  Advanced Analytics Using R Programming For Data Science Practical Data Science R COURSE ONLINE LinkableLink
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R Course Online

  • 1. R COURSE ONLINE B E S T O N L I N E C O U R S E S C O U P O N . C O M
  • 2. PRESENTATION OVERVIEW About R programming language Features Environment setup R data types,Variable,Operators Decision making and looping Function,List,Matrices and arrays Factors and packages Data interfaces in R programming language R graphs and charts R statistics 
  • 3. ABOUT R PROGRAMMING LANGUAGE R is a multi-paradigm and open source programming language, and it is a software environment which is mainly designed for statistical computing and graphics. This R programming language was created by Ross Ihaka and Robert Gentleman, and it was originally released in the year 1993.
  • 4. R is not only a programming language but also a software environment which is helpful for creating a statistical analysis, graphical representation, and reporting. R is a simple and well developed interpreted programming language which uses many useful concepts such as loops, conditionals, recursive functions to perform several tasks. F E A T U R E S
  • 5. Environment Setup By using the link https://cran.r- project.org/bin/windows/base/, the developers can download the Windows installer version of R for Windows 32 bit and 64 bit. If you don’t want to set up your environment for R programming language, then you the R environment which is readily available in online.
  • 6. R DATA TYPES The variables are used in all programming languages to store the values of various data types. Just the variables are called as reserved memory locations. Unlike C and Java, R programming language does not declare the data types to variables. Some of the commonly using data types are character, raw, complex, integer, numeric, logical. 
  • 7. VARIABLES In R programming language, the variables are used to store an atomic vector, combination of R objects or a group of atomic vectors. The variable names usually start with letters not with numeric numbers, and it does not allow any special characters without underscore and dot. 
  • 8. OPERATORS R operators are symbols used to perform mathematical and logical operations. Types of operators Arithmetic operators Relational operators Logical operators Miscellaneous operators Assignment operators
  • 9. DECISION MAKING AND LOOPING Decision Making - The decision- making statements are used by the programmers to test the conditions which are mentioned above the group of statements. If the condition is true, then the group of statements will be executed to obtain optimum results.  Loop statements -are used by the programmers to repeat the same task for several numbers of times. 
  • 10. FUNCTION A proper function is a group of statements which are executed by calling the particular function name to attain a specific task. In R programming language, the function is created by using the keyword called the function. components of function:   Function name,Arguments,Function body,     Return type .
  • 11. LIST list is created by using the function named list( ).  Then the list has various types of elements such as numbers, vectors, strings, and a list within the list. Sometimes, the matrix or function is also called as the elements of lists. 
  • 12. Matrices and arrays The array is also an R data objects which is used to store the data in more than two dimensions. The array ( ) function is used to create an array. Matrix is one of the objects of R where the elements are arranged in the 2-D rectangular layout. The matrix( ) function is used to create a matrix.
  • 13. FACTORS AND PACKAGES The factor is also the R objects that are used to sort out and store the data easily. Factors are store both integer as well as strings.  The R packages are the collection of R functions, sample data, and the compiled code. These packages are stored in the directory called the library. 
  • 14. Data interfaces R programming language, the programmers can read the data from the file and store up in the outside of the R environment. the programmers can write data in the file which are stored and accessed by the operating system. So the developers can read and write data in many file formats such as Excel, CSV, XML, etc.
  • 15. R GRAPHS AND CHARTS The R programming language is used to create many types of graphs and charts using various libraries. The graphs and charts are usually used to represent the data in the form of the picture so that the data can be analyzed easily without any confusion.
  • 16. R STATISTICS The statistical analysis in R programming language is performed by using various built-in functions such as mean, median, and mode. R programming language supports the commonly used statistical concepts such as linear regression, multiple regression, binomial distribution, poison regression, normal distribution, logistic regression, etc.
  • 17. R COURSE ONLINE 2017 R Programming For Data Science With Real Exercises Statistics With R Course For Beginners Data Science And Machine Learning Bootcamp With R Programming Language  Advanced Analytics Using R Programming For Data Science Practical Data Science R COURSE ONLINE LinkableLink
  • 19. THANKS FOR YOUR TIME! B E S T O N L I N E C O U R S E S C O U P O N . C O M