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R Introduction

bookLogical Indexing

Logical indexing allows you to filter rows of a data frame based on conditions. Instead of remembering row numbers, you specify logical expressions, and only rows where the condition is TRUE are returned.

Example


              
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name <- c("Alex", "Julia", "Finn")
age <- c(24, 43, 32)
gender <- c("M", "F", "M")
test <- data.frame(name, age, gender)

# People older than 30
test[test$age > 30, ]
# Males only
test[test$gender == 'M', ]
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The condition should be placed in the row index position inside square brackets ([condition, ]).

Task

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Using the mtcars dataset, extract the following data:

  1. The cars that pass a quarter-mile in less than 16 seconds (qsec column).
  2. Cars with 6 cylinders (cyl column).

Solution

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SectionΒ 5. ChapterΒ 4
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bookLogical Indexing

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Logical indexing allows you to filter rows of a data frame based on conditions. Instead of remembering row numbers, you specify logical expressions, and only rows where the condition is TRUE are returned.

Example


              
123456789

            
name <- c("Alex", "Julia", "Finn")
age <- c(24, 43, 32)
gender <- c("M", "F", "M")
test <- data.frame(name, age, gender)

# People older than 30
test[test$age > 30, ]
# Males only
test[test$gender == 'M', ]
copy

The condition should be placed in the row index position inside square brackets ([condition, ]).

Task

Swipe to start coding

Using the mtcars dataset, extract the following data:

  1. The cars that pass a quarter-mile in less than 16 seconds (qsec column).
  2. Cars with 6 cylinders (cyl column).

Solution

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Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 5. ChapterΒ 4
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