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R Introduction: Part I
course content

Course Content

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

Vectors

It's time to explore how to store multiple values within a single variable, which can be efficiently done using vectors.

It's essential to understand that a vector must contain data of the same type; this means you cannot mix integers, complex numbers, and logical values in a single vector.

Creating a vector in R is straightforward: just list all the values separated by commas inside the c() function. Here's how you do it:


              
12

            
vec <- c(1, 2, 3) # Create a vector
vec # Output its value
copy

When you input different data types within the c() function, R will default to one type for all elements. For instance, in a vector like c(1, 2, 'some text'), all numeric values will be converted to text. The reasoning is straightforward: if you attempt to construct a vector with varying types, R will select the one type to which all values can be converted.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 5
toggle bottom row

Vectors

It's time to explore how to store multiple values within a single variable, which can be efficiently done using vectors.

It's essential to understand that a vector must contain data of the same type; this means you cannot mix integers, complex numbers, and logical values in a single vector.

Creating a vector in R is straightforward: just list all the values separated by commas inside the c() function. Here's how you do it:


              
12

            
vec <- c(1, 2, 3) # Create a vector
vec # Output its value
copy

When you input different data types within the c() function, R will default to one type for all elements. For instance, in a vector like c(1, 2, 'some text'), all numeric values will be converted to text. The reasoning is straightforward: if you attempt to construct a vector with varying types, R will select the one type to which all values can be converted.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 2. Chapter 5
toggle bottom row

Vectors

It's time to explore how to store multiple values within a single variable, which can be efficiently done using vectors.

It's essential to understand that a vector must contain data of the same type; this means you cannot mix integers, complex numbers, and logical values in a single vector.

Creating a vector in R is straightforward: just list all the values separated by commas inside the c() function. Here's how you do it:


              
12

            
vec <- c(1, 2, 3) # Create a vector
vec # Output its value
copy

When you input different data types within the c() function, R will default to one type for all elements. For instance, in a vector like c(1, 2, 'some text'), all numeric values will be converted to text. The reasoning is straightforward: if you attempt to construct a vector with varying types, R will select the one type to which all values can be converted.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

It's time to explore how to store multiple values within a single variable, which can be efficiently done using vectors.

It's essential to understand that a vector must contain data of the same type; this means you cannot mix integers, complex numbers, and logical values in a single vector.

Creating a vector in R is straightforward: just list all the values separated by commas inside the c() function. Here's how you do it:


              
12

            
vec <- c(1, 2, 3) # Create a vector
vec # Output its value
copy

When you input different data types within the c() function, R will default to one type for all elements. For instance, in a vector like c(1, 2, 'some text'), all numeric values will be converted to text. The reasoning is straightforward: if you attempt to construct a vector with varying types, R will select the one type to which all values can be converted.

Task

Now, let's examine which types will be adopted when a vector consists of different data types.

  1. Display the vector containing the elements 0, 10.5, and 20, in that specific order.
  2. Display the vector containing the elements 1, 2.5, and 5 + 10i, in that order.
  3. Display the vector containing the elements 2.5, TRUE, and 5, in that order.
  4. Display the vector containing the elements FALSE, 25.5, and 'R', in that order.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 5
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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