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Define the term data structures or objects in R and discuss several examples Define the term data structures or objects in R and discuss several examples Define the term data structures or objects in R and discuss several examples Consider R language definitions using resources provided in the study materials. Define the term data structures or objects in R and discuss several examples (e.g., vectors, lists, language objects, symbol objects, expression objects, function objects, NULL, etc.). All R objects have attributes. What is the purpose of attributes? Data Structures or Objects in R R software is commonly used in data analysis. R is an open-source programming language that enhances statistical computing and graphical presentation. R is used by different organizations to improve management and manipulation of data to establish meaningful information to be used in the decision-making processes (Braun & Murdoch, 2021). R is applied by companies such as Google, Facebook, Twitter to manipulate data and facilitate research processes. Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: Define the term data structures or objects in R and discuss several examples In R programming, data structures refer to different variables that are mostly applied in organizing and storing different forms of data. Data structures refer to the information collected and arranged under each variable (Tanner-Smith et al., 2018). When fully and effectively arranged, data structures can be recognized and utilized effectively by the computer system. Vector is one of the examples of data structures. Vector is defined as the basic data structure in R used to describe types-decimal, functions of certain elements, and the total number of elements (Arge et al., 2018). Some other examples of vectors include symbol objects, language objects, and expression objects. The data structures, matrices and vectors often require all the data to be of the same data type. However, there are some structures such as data frames and lists that permits multiple data types. In R programming, objects may consist of attributes such as class, dimension, and name. Additionally, there exist numeric data types that may have attributes associated with them. All the R objects have attributes that provide additional dimension, description, as well as a comment that support and helps in creating unstandardized ways of queries. For instance, queries used in the same object can possess attributes where one can be categorized or classified as a description and the second as an object. In general, the attributes often aim at distinguishing objects. Order Now