Create New Variables in R with dplyr

Create New Variables in R with dplyr

Key Takeaways The mutate function from the dplyr package allows you to create new variables or modify existing variables in a data frame or a tibble in R. The variants of mutate, such as mutate_all, mutate_at, mutate_if, and mutate_across, allow you to apply functions to all selected or conditional variables or variables that match a pattern. The case_when function allows you to create new variables based on multiple conditions, using a logical expression and a value for each case. The glimpse, Kable, ggplot2, and diagrammeR functions allow you to display your data as tables and graphs, with some formatting options. The mutate function is useful for data analysis in R because it allows you to manipulate your data flexibly, consistently, and efficiently and works well with other dplyr functions and packages. Table of Contents Hi, I’m Zubair Goraya , a data analyst with 5 years of experience. I love writing about data analysis in R. I will explain how to create new variables in R with dplyr in …