What are the different data structures in R?

Data structure is a form of organizing and storing data. It is imperative to have a strong understanding of various data types and data structures in order to make the best use of R languages. R programming supports five types of data structures namely vector, matrix, list, data frame and factor.

• Vector– This data structure contains an integer, double, complex, etc. It is a sequence of same data elements and c() function is used to create a vector in R programming.
• Matrix- it is a two-dimensional data structure and is used to bind vectors from the same length. All the elements in the matrix have to be of the same type and it is created using a matrix() function. The value of row can be defined using nrow and the value of the column can be defined using ncol.
• List- list includes data of different types like numbers, strings, vectors, etc. It is somewhat like a vector but it contains mixed elements. A list is created using ().
• Data frame- it is a special list where each element is of the same length. A data frame has the features of both, matrices and lists. It is more generic than the matrix as different columns have different data types. It is crated using frame() function.
• Factors-it is created using factor() function and is used to store predefined and categorical data.