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
There are different types of data sets that can be used in R. These data sets include integer, numeric, logical, character, complex and raw data sets. The integer data, as the name says, represent the integer numbers without any decimal points. These types of data in R is used to store concrete or countable values.
Arrange function in R is used to sort data and arrange data in R in a certain manner. Just like the select, filter or summarize function, arrange function is also a function of the tidyverse package. To get started with arrange function and visualize how it sorts data in R, first install and run the
Tidyverse package can summarize data using the summarize function in R. This function provides the summary statistics of data and creates aggregated results from the data set. It generates the summary statistics based on a certain category of the data and/or the summary of data without any category. To learn how does the summarize function
