In R, concatenation is the process of combining multiple strings or vectors into a single string or vector. There are several ways to do concatenation in R, depending on the data structures. The first method is by using the paste() function. The following data set contains first and last names of the players. First, create […]
Different types of data structures in R includes vectors, matrices, data frames and lists. Having already discussed vectors, matrices and data frames, the focus of this article is lists. The lists are type of data structures that allow you to store and organize different type of data types including vectors, matrices and even other lists.
Data frames in R are another data structure used for organizing and manipulating data in a table form. These are two-dimensional structure where rows represent observations and columns represent variables. Creating a data frame requires using data.frame() function, where the variables are specified by naming vectors or columns. For example, to create a data frame
In R, matrix is a two-dimensional data structure that stores values of same data type in rows and columns. Unlike vectors, that were one dimensional, matrix can hold values in rows and columns. One can create matrix in R using the matrix() function. While creating a matrix using matrix() function, you need to specify data
There are different types of data structures in R. Data structures allow you to manipulate, store and organize data efficiently. The different types of data structures in R include vectors, matrices, data frame and lists. We will focus on vectors in this article, and leave the rest of data structures for the later articles. Vectors
