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.

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

18. FOLLOW US
Bestonlinecoursescoupon @best_coursess bestcourses

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