Conditional Logic in R with ifelse

When working with data, you constantly need to make decisions based on specific conditions. Learning how to apply conditional logic is one of the most critical steps in becoming a proficient data analyst or programmer. This text-only course guides you through the foundational concepts of decision-making in R, focusing on the versatile ifelse function. You will start with core programming concepts, understanding how R evaluates logical statements and handles boolean values. From there, you will learn how to write clean, vectorized conditional statements that allow you to transform entire datasets without complex loops. By the end of this course, you will be able to confidently manipulate data frames, handle missing values, and write efficient, modern R code. What you'll learn: - Understand the foundational concepts of logical operators and conditional evaluation in R - Apply the ifelse function to modify and clean variables in data frames - Handle missing data (NA values) safely within conditional statements - Nest multiple ifelse statements to handle complex, multi-layered decision rules - Implement modern tidyverse alternatives like dplyr's case_when for cleaner, more readable code - Practice writing optimized, vectorized operations that avoid slow loops This course begins with essential definitions and basic logical operators before moving step-by-step into practical data manipulation techniques. Through clear written explanations and structured code examples, you will build a practical understanding of conditional logic. This course is designed for beginners who are new to R or looking to solidify their data manipulation skills. No prior programming experience is required. Start writing smarter, more efficient data analysis code in R today.