Arithmetic Operators in R

Introduction to Arithmetic Operators in R

The article is about making use of arithmetic operators in R Language. The usual arithmetic operations with the usual hierarchy are:

OperatorShort Description
+Addition operator
Subtraction operator
*Multiplication operator
/Division operator
^Exponent operator
# Addition of two or more numbers and varaibles
2 + 7

## output
[1] 9

2.2 + 8.13 + 9

## output
[1] 19.33

Note that, the symbol [1] in the output indicates the element number in this output line.

Defining a Variable in R

Suppose, one wants to define a variable, e.g., $x=5$

R will create an object to store that value and show it when we enter that variable. The object is not displayed on the screen but stored in the active memory of R. The object will be displayed by typing the object name on the R prompt.

To define a variable, we use an assignment operator, i.e., <- (assignment operator) which plays the role of equality (=). For example,

x <- 5
x
Arithmetic Operator and assignment operator in R

The assignment operator (->) may also be used. However, the assignment operator (->) assignment the value from left to right. For example,

x <- 2

will assign the value 2 to variable $x$ and

x ^ 2 -> y

assigns $x^2$ to object (variable) $y$.

Note that by assigning a new value to the same variable, the old value will automatically be over-written (deleted). For example,

x <- 4
x

x <-5
x <- 2

x

Usually, spaces are not required to separate the elements of an arithmetic expression.

Note:

  • If a command is not complete at the end of a line you will see a “+” sign, meaning you must complete the command.
  • Commands are separated by a semi-colon at a new line
  • Comments will be lines starting with a hash mark “#”
  • The interpreter ignores text to the right of #.

Use of Arithmetic Operators in R to Compute a Formula

Question: Find the distance between 2 points (2, 4, 6), and (4.2, 7.1, 8.6).

Solution: The distance between two points say $(x_1,x_2,x_3)$ and $(y_1,y_2,y_3)$ is defined as $$\sqrt{(x_1-y_1)^2 + (x_2-y_2)^2 + (x_3-y_3)^2}$$. The R code may be like:

sqrt((2-4.2)^2 + (4-7.2)^2 + (6-8.6)^2)

# alternatively one can store point values such as
x1 = 2
x2 = 4
x3 = 6
y1 = 4.2
y2 = 7.1
y3 = 8.6

sqrt((x1-y1)^2 + (x2-y2)^2 + (x3-y3)^2)
Arithmetic operators in R and distance between two points

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Customizing R Session

The .Rprofile file is used to customize the R session every time you start it up. The R profile script (.Rprofile) can be created in the home directory. This script gets executed whenever you start a new R session. One can use it to pre-load libraries, set global options, or define custom functions. In this article, we will discuss customizing the R sessions.

Customizing R Session

The R profile script (.Rprofile) file can be used to

  1. Change R’s default,
  2. Define handy command-line functions,
  3. Automatically load your favorite packages

On start-up R will look for the Rprofile in the following places:

1) R Home Directory: R.home() is used to find the directory path in which R is installed.
2) User’s Home Directory: path.expand("~") is used to find the user’s home directory.
3) R Current Working Directory: getwd() is used to find the R’s current working directory.

Modifying R Default Settings

One can employ a few minor modifications on R default settings. For example, The default prompt is > and the output printed in the console is seven numbers after decimals. The following setting will:

  1. Replace the default standard R prompt
  2. Update (reduce) the number of digits from 7 to 4. Note: it does not reduce the precision with which these numbers are internally processed and stored.
  3. The show.signif.stars=FALSE will not show stars to indicate the significance of p-values at the conventional level.
options(prompt = "Imdad> ", digits = 4, show.signif.stars = F)
Customizing R session

Edit Profile using usethis Package

  • Use the usethis::edit_r_profile() function (from the usethis package) to edit your easily .Rprofile.
  • Remember to include sensitive information (like API keys) directly in the script. Consider using a separate
  • The .Renviron file for such cases.
  • If you have both a project-specific .Rprofile and a user-level one, source the user profile at the beginning of your project’s .Rprofile.

Summary

In summary .Rprofile script file allows the user to customize the R environment by setting options, loading libraries, and defining functions that you want available in every session.

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Operators in R Language Made Easy

Introduction to Operators in R Language

In R language, different types of operators (symbols) are used to perform mathematical and logical computations. R Language is enriched with built-in operators.

Operators in R

The types of operators in the R language are:

  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • Assignment Operators
  • Miscellaneous Operators
Operators in R Language

Arithmetic Operators in R

The arithmetic operators in R can be used to perform basic mathematical computations (such as addition, subtraction, multiplication, and division) on numbers or elements of the vectors. The following are some examples, related to arithmetic operators.

# Add two vectors
v1 <- c(3,4,5,6)
v2 <- 1:4
print(v1+v2)

# Subtract 2nd vector from 1st
v2 - v1

# Multiply both vectors
v1 * v2

# Divide the 1st vector witht the 2nd
v1/v2

# Compute the remainder by dividing 1st vector with 2nd
v1%%v2

# Compute the Quotient by division of 1st vector with the second
v1%/%v2
# Compute raised to power of other vecotor
v1^v2
Arithmetic Operators in R Language

Relational Operators in R

The relational operators are used for comparison purposes. When comparing elements of two vectors, each element of the first vector is compared with the corresponding element of the second vector and results in a Boolean value. The examples are:

# less than comparison
v1 < v2

# greater than comparison
v1 > v2

# exactly equal comparison
v1 == v2

# less than or equal to comparison
v1 <= v2

# greater than or equal to comparison
v1 >= v2

# not equal to comparison
v1 != v2
Relational Operators in R Language

Logical Operators in R

The logical operators are used to compare vectors having types of logical (TRUE or FALSE), numeric, or complex numbers. The vectors having values greater than 1 are all considered logical TRUE values.

The examples that make use of logical operators are:

L1 <- c(2, TRUE, 2+2i, FALSE)
L2 <- c(4, 1, 3+1i, TRUE)
# logical AND Operator (Results in TRUE if corresponding elements of vectors are TRUE only)
L1 & L2

# logical OR Operator (Results in TRUE, if either corresponding element of a vector is TRUE
L1 | L2

# logical NOT Operator (Results in opposite logical value)
!L1
Logical Operator in R Language

The logical operators && and || consider the first element of the vectors and give a vector of a single element as output. The && (AND) operator takes the first element of both the vectors and gives the TRUE only if both elements are TRUE. The || (OR) operator takes the first element of both vectors and gives the TRUE if one of them is TRUE.

# && Operator
L1 && L2

# || Operator
L1 || L2

Assignment Operators in R

The assignment operators are used to assign values to vectors or variables. The examples are

# <-, =, and <<- assignment operator (Left Assignment)
x1 <- c(3, 5, 6, 7, 8, 9)
x2 =  c(3, 5, 6, 7, 8, 9)
x3 <<-c(3, 5, 6, 7, 8, 9)

# ->, --> (Right Assignment)
x4 -> c(3, 5, 6, 7, 8, 9)
x5 ->>c(3, 5, 6, 7, 8, 9)

Miscellaneous Operators in R

These operators are used for specific purposes and are not general mathematical or logical computers. These operators include the colon operator, %in% operator, and %*% operator. The Colon operator generates the series of numbers in sequence for a vector. The %in% identifies an element that belongs to a vector and multiplies a matrix with its transpose, matrix multiplication.

# Colon (:) Operator
2:10

# %in% Operator
v1 <- c(5, 6, 4, 7, 8, 9, 2, 3, 4)
4 %in% v1

# %*% Operator
M = matrix(c(3,5,6, 3,2,4), nrow = 2, ncol= 3)
m%*%t(M)

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