Why vectors are the fundamental data structure in R Programming

Introduction

Vectors are the basic way to store many values in R. They keep data in order and make it easy to work with numbers, words, or logical values.

When you want to store a list of numbers like ages or temperatures.

When you need to keep a series of words like names or colors.

When you want to do math or comparisons on many values at once.

When you want to select or change parts of a list easily.

When you want to organize data simply before making tables or charts.

Syntax

R Programming

c(value1, value2, value3, ...)

The c() function combines values into a vector.

All values in a vector must be the same type (all numbers, or all text, etc.).

Examples

This creates a numeric vector with four numbers.

R Programming

numbers <- c(10, 20, 30, 40)

This creates a character vector with three words.

R Programming

words <- c("apple", "banana", "cherry")

This creates a logical vector with true/false values.

R Programming

flags <- c(TRUE, FALSE, TRUE)

Sample Program

This program creates two vectors: one for ages and one for names. It prints both vectors and then calculates and prints the average age.

R Programming

ages <- c(25, 30, 22, 40)
names <- c("Anna", "Bob", "Cara", "Dan")

# Print ages vector
print(ages)

# Print names vector
print(names)

# Calculate average age
average_age <- mean(ages)
print(average_age)

Important Notes

Vectors are simple but powerful for storing data in R.

Mixing types in a vector will convert all values to the most flexible type (usually text).

Many R functions expect vectors as input, so understanding them helps with most tasks.

Summary

Vectors hold many values of the same type in order.

They are easy to create and use with the c() function.

Vectors are the building blocks for more complex data in R.