Filter Rows Based on Conditions in a DataFrame in R Last Updated : 27 Mar, 2024 Comments Improve Suggest changes Like Article Like Report In this article, we will explore various methods to filter rows based on Conditions in a data frame by using the R Programming Language. How to filter rows based on Conditions in a data frame R language offers various methods to filter rows based on Conditions in a data frame. By using these methods provided by R, it is possible to filter rows. Some of the methods to filter rows based on conditions are: Filter rows based on a single conditionThis method is used to filter rows based on a single condition. In the below example, we created a data frame and filtered rows based on a single condition. R df <- data.frame( name=c("a","b","c","d","e","f"), id=c(100,250,300,450,500,600), age=c(10,20,30,35,40,50) ) print(df) res <- df[df$id > 400, ] print("The resultant data frame is") print(res) Output: name id age1 a 100 102 b 250 203 c 300 304 d 450 355 e 500 406 f 600 50[1] "The resultant data frame is" name id age4 d 450 355 e 500 406 f 600 50In the below example, we created a data frame and filtered rows based on a single condition. R df <- data.frame( name=c("a","b","c","d","e","f"), id=c(100,250,300,450,500,600), age=c(10,20,30,35,40,50) ) print(df) res <- df[df$age > 35, ] print("The resultant data frame is") print(res) Output: name id age1 a 100 102 b 250 203 c 300 304 d 450 355 e 500 406 f 600 50[1] "The resultant data frame is" name id age5 e 500 406 f 600 50Filter rows based on Multiple conditionsThese method is used to filter the rows based on multiple conditions. In the below example, we created a data frame and filtered rows based on multiple conditions. R df <- data.frame( name=c("a","b","c","d","e","f"), id=c(100,250,300,450,500,600), age=c(10,20,30,35,40,50) ) print(df) res <- df[df$age > 30 & df$id == 450, ] print("The resultant data frame is") print(res) Output: name id age1 a 100 102 b 250 203 c 300 304 d 450 355 e 500 406 f 600 50[1] "The resultant data frame is" name id age4 d 450 35In the below example, we created a data frame and filtered rows based on multiple conditions. R df <- data.frame( name=c("a","b","c","d","e","f"), id=c(100,250,300,450,500,600), age=c(10,20,30,35,40,50) ) print(df) res <- df[df$name %in% c("b", "e"), ] print("The resultant data frame is") print(res) Output: name id age1 a 100 102 b 250 203 c 300 304 d 450 355 e 500 406 f 600 50[1] "The resultant data frame is" name id age2 b 250 205 e 500 40ConclusionIn conclusion, we learned about how to filter rows based on conditions in a data frame. R programming language offers versatile tools while handling to filter rows based on conditions in a data frame. 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