In this tutorial, we’ll move on to understanding factors in R programming. One operation we perform frequently in data science is the estimation of a variable based upon the model…

Before we delve deeper into R programming, it is important to understand the various data types used in R. R has the following basic data types: Character Numeric Integer Logical…

Rounding off the numbers can be achieved with round() in R. Round is one of the best ways to make numerical values more meaningful and to get more precise results…

Strings are generally a one-dimensional (1D) arrays that contain single or multiple values in it. Strings can include character data, numerical data, and any special characters as well. Strings in…

Hello, folks. In this tutorial we are going to convert the case of the string in R. The R language offers functions such as tolower(), toupper(), and casefold() to convert…

In this tutorial, let’s learn how we can find the median in R. Median is defined as the measurement of central tendency in the data. In simpler terms, you may…

Replacing a value is very easy, thanks to replace() in R to replace the values. In data analysis, there may be plenty of instances where you have to deal with…

Moving ahead from our previous tutorial on arrays in shell scripts, let’s understand how we can use if-else in shell scripts. Conditional programming is an important part of any programming…

The family of apply() functions in R is used to apply user-defined functions to the elements of complex structures like matrices, lists or data frames. These functions help a lot…

Using the paste() function in R will be straight and simple. In this tutorial let’s see how we can use paste() to concatenate the strings and values. paste(): Takes multiple…