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R Introduction: Part I
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Contenido del Curso

R Introduction: Part I

R Introduction: Part I

1. Basic Syntax and Operations
Why R?Basic ArithmeticUsing the print() Function Comments in RInteger Division and RemaindersExponentiationcat() FunctionVariablesRevenue CalculationAssignment Operators
2. Basic Data Types and Vectors
Data TypesNumbersType ConversionLogical TypesVectorsLabeling VectorsIndexing in VectorsModifying VectorsDeleting Elements from VectorsArithmetic Operations with Vectors
3. Factors
What is a Factor?Indexing in FactorsLevelsCounting ValuesGrouping Numeric DataGrades Summary

bookArithmetic Operations with Vectors

Vectors in R offer a significant advantage due to their flexibility with various operations. For instance, if you have two vectors of the same length, you can easily perform addition or subtraction on an element-by-element basis.

Additionally, vectors can undergo arithmetic operations with single numbers, which apply the operation to each element of the vector. For example, let's create a vector with the numbers 10, 20, 30 and add 40, 25, 5 to each corresponding element:


              
123456

            
# Vectors
a <- c(10, 20, 30)
b <- c(40, 25, 5)
# Addition
c <- a + b
c
copy

Now, let's go ahead and multiply each element by 2:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
# Multiplication
d <- c * 2
d
copy

R also provides a variety of aggregate and statistical functions. Let's explore two of the most common ones:

  • sum() - calculates and returns the sum of all vector elements;
  • mean() - computes and returns the average value of the vector elements.

We will proceed with our previous example and calculate the sum of all vector elements:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
d <- c * 2
# Calculating the sum
sum(d)
copy
Tarea
test

Swipe to show code editor

Let's revisit our example with a small local store. This time we have data on the number of sales.

ItemPriceItems sold
Sofa$3405
Armchair$1507
Dining table$1153
Dining chair$4515
Bookshelf$1608
  1. Construct a vector called sold with the respective values from the Items sold column.
  2. Calculate the revenue by multiplying the prices and sold vectors and then output the result.
  3. Display the total sum of the revenue vector.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 10
toggle bottom row

bookArithmetic Operations with Vectors

Vectors in R offer a significant advantage due to their flexibility with various operations. For instance, if you have two vectors of the same length, you can easily perform addition or subtraction on an element-by-element basis.

Additionally, vectors can undergo arithmetic operations with single numbers, which apply the operation to each element of the vector. For example, let's create a vector with the numbers 10, 20, 30 and add 40, 25, 5 to each corresponding element:


              
123456

            
# Vectors
a <- c(10, 20, 30)
b <- c(40, 25, 5)
# Addition
c <- a + b
c
copy

Now, let's go ahead and multiply each element by 2:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
# Multiplication
d <- c * 2
d
copy

R also provides a variety of aggregate and statistical functions. Let's explore two of the most common ones:

  • sum() - calculates and returns the sum of all vector elements;
  • mean() - computes and returns the average value of the vector elements.

We will proceed with our previous example and calculate the sum of all vector elements:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
d <- c * 2
# Calculating the sum
sum(d)
copy
Tarea
test

Swipe to show code editor

Let's revisit our example with a small local store. This time we have data on the number of sales.

ItemPriceItems sold
Sofa$3405
Armchair$1507
Dining table$1153
Dining chair$4515
Bookshelf$1608
  1. Construct a vector called sold with the respective values from the Items sold column.
  2. Calculate the revenue by multiplying the prices and sold vectors and then output the result.
  3. Display the total sum of the revenue vector.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 10
toggle bottom row

bookArithmetic Operations with Vectors

Vectors in R offer a significant advantage due to their flexibility with various operations. For instance, if you have two vectors of the same length, you can easily perform addition or subtraction on an element-by-element basis.

Additionally, vectors can undergo arithmetic operations with single numbers, which apply the operation to each element of the vector. For example, let's create a vector with the numbers 10, 20, 30 and add 40, 25, 5 to each corresponding element:


              
123456

            
# Vectors
a <- c(10, 20, 30)
b <- c(40, 25, 5)
# Addition
c <- a + b
c
copy

Now, let's go ahead and multiply each element by 2:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
# Multiplication
d <- c * 2
d
copy

R also provides a variety of aggregate and statistical functions. Let's explore two of the most common ones:

  • sum() - calculates and returns the sum of all vector elements;
  • mean() - computes and returns the average value of the vector elements.

We will proceed with our previous example and calculate the sum of all vector elements:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
d <- c * 2
# Calculating the sum
sum(d)
copy
Tarea
test

Swipe to show code editor

Let's revisit our example with a small local store. This time we have data on the number of sales.

ItemPriceItems sold
Sofa$3405
Armchair$1507
Dining table$1153
Dining chair$4515
Bookshelf$1608
  1. Construct a vector called sold with the respective values from the Items sold column.
  2. Calculate the revenue by multiplying the prices and sold vectors and then output the result.
  3. Display the total sum of the revenue vector.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Vectors in R offer a significant advantage due to their flexibility with various operations. For instance, if you have two vectors of the same length, you can easily perform addition or subtraction on an element-by-element basis.

Additionally, vectors can undergo arithmetic operations with single numbers, which apply the operation to each element of the vector. For example, let's create a vector with the numbers 10, 20, 30 and add 40, 25, 5 to each corresponding element:


              
123456

            
# Vectors
a <- c(10, 20, 30)
b <- c(40, 25, 5)
# Addition
c <- a + b
c
copy

Now, let's go ahead and multiply each element by 2:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
# Multiplication
d <- c * 2
d
copy

R also provides a variety of aggregate and statistical functions. Let's explore two of the most common ones:

  • sum() - calculates and returns the sum of all vector elements;
  • mean() - computes and returns the average value of the vector elements.

We will proceed with our previous example and calculate the sum of all vector elements:


              
123456

            
a <- c(10, 20, 30)
b <- c(40, 25, 5)
c <- a + b
d <- c * 2
# Calculating the sum
sum(d)
copy
Tarea
test

Swipe to show code editor

Let's revisit our example with a small local store. This time we have data on the number of sales.

ItemPriceItems sold
Sofa$3405
Armchair$1507
Dining table$1153
Dining chair$4515
Bookshelf$1608
  1. Construct a vector called sold with the respective values from the Items sold column.
  2. Calculate the revenue by multiplying the prices and sold vectors and then output the result.
  3. Display the total sum of the revenue vector.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 10
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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