R Language Tutorial Data Structures Interview Questions Data Viz. using R R Data Analysis R Machine Learning Operators in R are symbols that perform operations on variables and values (operands). They allow you to carry out mathematical calculations, logical comparisons, assignments and other operations efficiently. Arithmetic Operators Arithmetic operators perform mathematical operations on numeric values or vectors. In R, these operations are applied element-wise when working with vectors. 1. Addition (+) The values at the corresponding positions of both operands are added. 2. Subtraction (-) The second operand values are subtracted from the first. 3. Multiplication (*) The multiplication of corresponding elements of vectors and Integers are multiplied with the use of the '*' operator. 4. Division (/) The first operand is divided by the second operand with the use of the '/' operator. The first operand is raised to the power of the second operand. It returns the remainder after dividing the first operand by the second operand. Logical Operators Logical Operators in R simulate element-wise decision operations, based on the specified operator between the operands, which are then evaluated to either a True or False boolean value. Any non-zero integer value is considered as a TRUE value, be it a complex or real number. 1. Element-wise AND (&) Returns True if both the operands are True. 2. Element-wise OR (|) Returns True if either of the operands is True. A unary operator that negates the status of the elements of the operand. 4. Short-circuit AND (&&) Returns True if both the first elements of the operands are True. 5. Short-circuit OR (||) Returns True if either of the first elements of the operands is True. Relational Operators The Relational Operators in R carry out comparison operations between the corresponding elements of the operands. Returns a boolean TRUE value if the first operand satisfies the relation compared to the second. In logical comparisons, TRUE is internally treated as 1 and FALSE as 0. However, comparisons involving logical values depend on context and type coercion. 1. Less than (<) Returns TRUE if the corresponding element of the first operand is less than that of the second operand. Else returns FALSE. 2. Less than or equal to (<=) Returns TRUE if the corresponding element of the first operand is less than or equal to that of the second operand. Else returns FALSE. 3. Greater than (>) Returns TRUE if the corresponding element of the first operand is greater than that of the second operand. Else returns FALSE. 4. Greater than or equal to (>=) Returns TRUE if the corresponding element of the first operand is greater or equal to that of the second operand. Else returns FALSE. 5. Not equal to (!=) Returns TRUE if the corresponding element of the first operand is not equal to the second operand. Else returns FALSE. When different data types are combined in a vector, R performs type coercion by converting all elements to a common type (usually the most flexible type, such as character). Assignment Operators Assignment Operators in R are used to assigning values to various data objects in R. The objects may be integers, vectors or functions. These values are then stored by the assigned variable names. 1. Left Assignment (<- , <<- , =) Assigns a value to a vector. 2. Right Assignment (-> , ->>) Assigns value to a vector. Miscellaneous Operators Miscellaneous operators in R are special-purpose operators used for tasks such as membership checking ( %in% ) and matrix multiplication ( %*% ). 1. %in% Operator Checks if an element belongs to a list and returns a boolean value TRUE if the value is present else FALSE. 2. %*% Operator (Matrix Multiplication) The %*% operator performs matrix multiplication. Columns of the first matrix must equal rows of the second. If A is (r × c) and B is (c × r), the result is (r × r). 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