R Tutorial

It’s really important to know your main r data types so you can check what kind of values you’re working with when modeling data, or when casting it as a certain data type. Learn how to check numeric data types …

Learn how to create variables to easily store data values, or vectors/lists of values, or datasets, or objects in R. You’ll learn how to assign values or objects to variables, naming style conventions, and overriding variable values.

Prerequisites:
Data …

R operators are not only useful for doing calculations on data but can also be used to compare values or set up conditions for values. Learn the 3 main types of operators: arithmetic, rational, and logical.

Prerequisites:
Data Set…

It goes without saying that in data science you will often be reading in and writing out data in R. Learn how to read a data file as a data frame and write out a data frame to a file. …

Data frame is one of the main objects in R that you will often use when working with data in R. Learn how to access a data frame’s rows and columns, and look up the structure of a data frame.…

Learn how to create a vector of values, access a specific element or elements within a vector, apply conditions to vector values, get the length of a vector, and more ways to work with vectors.

Prerequisites:
Data Set
How …

When working with categorical data or categories, it is useful to treat these as factor levels. Learn how to cast character strings or numbers as factors so that they are treated as categories.

Prerequisites:
Data Set
How to Install …

R is loaded with pre-built functions to help you carry out routine data science tasks. Whether it is data manipulation, modeling or doing calculations on the data, there is likely a package containing a collection of pre-built functions to help …

Control statements allow us to control the flow of a program. We make use of the for loop, if and else statement to loop through data values, check if they meet a condition, and assign a string text label to …