In R, you can change the data type of variables in data frame for data and statistical analysis. Before going further about changing data type in R, it’s important to know the difference between a vector and data frame. While the vector is a data set with same type of data, data frame contains data […]
In R, while doing data manipulation and analysis, one might need to combine vectors and data frames to create a holistic data set. The cbind() and rbind() are powerful functions, allowing us to combine vectors and data frames efficiently. Let’s start by creating two vectors, having first and last names of players, by using following
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
