Subset Data Frames Using Logical Conditions In R Last Updated : 21 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Subset Data Frames Using Logical Conditions in R programming language means selecting specific rows from a data frame where certain logical conditions are true, such as values being greater than, less than or equal to a given number.1. Subset data frame with ==This method subsets rows where the column value is equal to a specific value. R df <- data.frame( a1 = c(3, 7, 1, 8, 5, 8), a2 = letters[3:8], batch = c("b0", "b1", "b2", "b1", "b3", "b1") ) print(df) print("After subsetting the data frame") df[df$batch == "b1", ] Output:Output2. Subset Data Frame with %in%This method subsets rows where a column's value matches any value in a vector. R df <- data.frame( name = c("a", "b", "c", "d", "e"), id = c(15, 30, 45, 60, 75), batch = c("a0", "b1", "b2", "b1", "c1") ) print(df) print("After subsetting the data frame") res <- df[df$batch %in% c("b1", "c1"), ] print(res) Output:Output3. Subset Data Frame with !=This method subsets rows where the column value is not equal to a specific value. R df <- data.frame( a1 = c(3, 7, 1, 8, 5, 8), a2 = letters[3:8], batch = c("b0", "b1", "b2", "b1", "b3", "b1") ) print(df) print("After subsetting the data frame") df[df$batch != "b1", ] Output:Output4. Subset Using Square Brackets [ ]This is a base R approach to subset rows using logical conditions directly within square brackets. R df <- data.frame( name = c("a", "b", "c", "d", "e"), id = c(15, 30, 45, 60, 75), batch = c("a0", "b1", "b2", "a2", "c1") ) print(df) print("After subsetting the data frame") subset_df <- df[df$id > 30, ] print(subset_df) Output:Output5. Subset Using subset() FunctionThe subset() function is a cleaner and more readable way to apply conditions on data frames. R df <- data.frame( name = c("a", "b", "c", "d", "e"), id = c(15, 30, 45, 60, 75), batch = c("a0", "b1", "b2", "a2", "c1") ) print(df) print("After subsetting the data frame") subset_df <- subset(df, id > 45) print(subset_df) Output:OutputWe learned about how to perform subsetting by using logical conditions. Comment More info M maheshpe0b68 Follow Improve Article Tags : R Language R Data-science AI-ML-DS With R Data Science R Language +1 More Explore R Tutorial | Learn R Programming Language 4 min read IntroductionR Programming Language - Introduction 4 min read Interesting Facts about R Programming Language 4 min read R vs Python 5 min read Environments in R Programming 3 min read Introduction to R Studio 4 min read How to Install R and R Studio? 4 min read Creation and Execution of R File in R Studio 5 min read Clear the Console and the Environment in R Studio 2 min read Hello World in R Programming 2 min read Fundamentals of RBasic Syntax in R Programming 3 min read Comments in R 3 min read R-Operators 5 min read R-Keywords 2 min read R-Data Types 5 min read VariablesR Variables - Creating, Naming and Using Variables in R 5 min read Scope of Variable in R 5 min read Dynamic Scoping in R Programming 5 min read Lexical Scoping in R Programming 4 min read Input/OutputTaking Input from User in R Programming 7 min read Printing Output of an R Program 4 min read Print the Argument to the Screen in R Programming - print() Function 2 min read Control FlowControl Statements in R Programming 4 min read Decision Making in R Programming - if, if-else, if-else-if ladder, nested if-else, and switch 3 min read Switch case in R 2 min read For loop in R 5 min read R - while loop 5 min read R - Repeat loop 2 min read goto statement in R Programming 2 min read Break and Next statements in R 3 min read FunctionsFunctions in R Programming 5 min read Function Arguments in R Programming 4 min read Types of Functions in R Programming 6 min read Recursive Functions in R Programming 4 min read Conversion Functions in R Programming 4 min read Data StructuresData Structures in R Programming 4 min read R Strings 6 min read R-Vectors 4 min read R-Lists 6 min read R - Array 7 min read R-Matrices 10 min read R-Factors 4 min read R-Data Frames 6 min read Object Oriented ProgrammingR-Object Oriented Programming 7 min read Classes in R Programming 3 min read R-Objects 3 min read Encapsulation in R Programming 3 min read Polymorphism in R Programming 6 min read R - Inheritance 7 min read Abstraction in R Programming 3 min read Looping over Objects in R Programming 5 min read S3 class in R Programming 8 min read Explicit Coercion in R Programming 3 min read Error HandlingHandling Errors in R Programming 3 min read Condition Handling in R Programming 5 min read Debugging in R Programming 3 min read Like