Comma separated Value files also known as CSV files can be imported and exported to and from R. This article explains how to import and export CSV files in R. Import CSV file in R First, we are going to discuss the importing of CSV file in R using read.csv and read_csv functions. The most […]
In R, we can merge different data frames for the data analysis purpose. There are two ways to merge data frame, either by using the merge() function in base R or by using tidyverse package, we will discuss both in this article . The merge() function merges the data based on a common variable or
In a data frame in R, one can create or modify variables either using base R method or by using the mutate function from the tidyverse package. Lets first discuss the base R method. Load the following data in R for further understanding of how to create a variable in a date frame, Download Example
Using mutate function to create a variable in Data frame Read More »
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
