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R programming mostly used for statistical calculations in machine learning like hypothesis, data mining, data warehousing, clustering, regression modeling, sentiment analysis or data visualization etc.
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What is R programming ?
This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...).
This manual provides information on data types, programming elements, statistical modelling and graphics.
R Operators
In machine learning R programming use different types of operators, now we will go thorough all the necessary R Programming operators.
R Arithmetic Operators
R use the different types of arithmetic operators which is listed in below section:
+(addition)
-(subtraction)
*(multiplication)
/(division)
^(exponent)
%%(modulus)
%/%(integer division)
R Relational Operators
Relational operators are used to compare between values. Here is a list of relational operators available in R.
<(less than)
>(greater than)
<=(less than or equal to)
>=(greater than or equal to)
==(equal to)
!=(not equal to)
Operation on Vectors
We can use the function c()(as in concatenate) to make vectors in R.
R Logical Operators
Logical operators are used to carry out Boolean operations like AND,OR etc.
!(logical NOT)
&(Element wise logical AND)
&&(logical AND)
|(Element wise logical OR)
||(logical OR)
R Assignment Operators
These operators are used to assign values to variables
<-, <<-, = Leftwards assignment
->, ->> Rightwards assignment
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