The & Operator
The & operator is element-wise, meaning it evaluates conditions for each element in a vector or data frame. This is useful when comparing multiple elements in a vector or across vectors.
Using & with Vectors
Here’s a simple example showing how the & operator works with vectors.
# Create two logical vectors
vec1 <- c(TRUE, FALSE, TRUE)
vec2 <- c(TRUE, TRUE, FALSE)
# Apply the AND operator
result <- vec1 & vec2
print(result)
Output:
[1] TRUE FALSE FALSE
In this example, result is a vector of logical values, with each element representing the result of applying the & operator to the corresponding elements in vec1 and vec2 Applying & in Data Frames.
The & operator can also be used to evaluate conditions across different columns in a data frame.
# Create a data frame
df <- data.frame(
age = c(25, 35, 45),
score = c(80, 70, 90)
)
df
# Select rows where age is greater than 30 and score is greater than 75
filtered_df <- df[df$age > 30 & df$score > 75, ]
print(filtered_df)
Output:
age score
1 25 80
2 35 70
3 45 90
age score
3 45 90
In this example, we used the & operator to filter rows where both conditions are true.
And Operator In R
The AND operator in R Programming Language is a logical operator used to combine multiple conditions or logical statements. It returns TRUE only if all combined conditions are true; otherwise, it returns FALSE. There are two types of AND operators in R Programming Language & and &&. This article explores the differences between them and provides examples to demonstrate their use in various contexts.
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