What is R? 📊

R is a programming language created specifically for data analysis, statistics and visualization. It is widely used in science, business and machine learning. 📈

R is popular among scientists, analysts and researchers, as it contains many built-in functions for processing big data. 🎯

Why study R? 🔥

• Simplicity: convenient and readable syntax.

• Data analysis: built-in tools for working with tables and graphs.

• Machine learning: support for libraries for neural networks and predictive analytics.

• The wider community: many ready-made packages and documentation.

How to install R? 💻

To work with R you will need:

• ✅ R interpreter. You can download it from official website.

• ✅ Code editor. Recommended RStudio - convenient environment for working with R.

How to check if R is installed? 🛠

Open the terminal and enter:

R --version

If R is installed, its version will appear.

R Syntax Basics 📚

1. Variables 📦

In R, variables are created simply:

Example of declaring variables:

# Creating variables
name <- "Alice"   # Line
age <- 25         # Number
pi_value <- 3.14  # Floating point number

# Variable output
print(name)
print(age)
print(pi_value)

2. Data output 📤

To display information, use print().

Example:

print("Hello, world!")

3. Conditional operators (if...else) 🧐

Allow the program to make decisions.

Example:

age <- 20

if (age >= 18) {
  print("You're an adult!")
} else {
  print("You're still a child.")
}

4. Loops (for, while) 🔄

Loops allow you to repeat actions.

Example:

for (i in 1:5) {
  print(i)
}

5. Functions 📐

Functions help to structure the code.

Example:

square <- function(x) {
  return(x * x)
}

print(square(5))

Simple projects on R 💡

1. Random number generator 🎲

The program generates a random number from 1 to 100.

# Random number generation
random_number <- sample(1:100, 1)
print(paste("Random number:", random_number))

2. Multiplication table 📊

The program displays a multiplication table from 1 to 10.

for (i in 1:10) {
  for (j in 1:10) {
    cat(i, "x", j, "=", i * j, "\t")
  }
  cat("\n")
}

3. Counting the number of characters in a string 🔢

The program counts the characters in the string.

text <- "Hello, R!"
print(paste("Number of characters:", nchar(text)))

4. Checking the number for evenness 🔍

The program determines whether the number is even.

number <- 42

if (number %% 2 == 0) {
  print(paste(number, "- even number"))
} else {
  print(paste(number, "- odd number"))
}

5. Calculating the factorial of a number 🎯

This code calculates the factorial of a given number.

factorial <- function(n) {
  if (n == 0) {
    return(1)
  } else {
    return(n * factorial(n - 1))
  }
}

print(paste("Factorial 5:", factorial(5)))

Conclusion 🎉

R is a powerful programming language that is easy to learn. We have analyzed its basics: variables, input/output, conditions, loops and functions. Now you can write your first programs! 🚀

The more you practice, the better your code becomes. Experiment, try new tasks and master programming! Good luck learning R! 😊