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Introduction to Data Analysis and Visualization with R

Vectors in R

Explore the concept of vectors as basic one-dimensional data structures in R. Understand how to create vectors, select and filter elements, check for specific values, and replace data to maintain accuracy in data analysis tasks.

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Vector objects

Vectors act as containers of data elements, forming one-dimensional basic data structures that transform values into a single data type. Vectors can be sorted, filtered, and modified. We can generate vectors using the c() command.

An illustration of a vector object
An illustration of a vector object

Vector elements do not always keep the characteristics of their original data type if the vector includes more than one different data type. They converge in a data type that all the elements can be converted into.

The example below illustrates how the disparate data types of individual vector elements can be represented in a mutually compatible format.

R
# Create vectors using c()
myVector <- c('data analysis', 3L, 2i+3, TRUE) # define a vector
myVector1 <- c(3L, TRUE)    # define a vector
print(class(myVector))    # print the class of the variable
print(class(myVector[2]))    # Check the class of the second element
print(class(myVector[3]))   # Check the class of the third element
print(class(myVector1))   # Check the class of the vector

Notice how the data types are automatically converted into a common one in the examples above. The original data types of 2i+3 and 3L are, ...