R mapply() Function - Multivariate Application
R Language ExamplesThe R mapply() function is a multivariate version of sapply(), which can apply a function to multiple lists/vectors simultaneously.
When you need to process multiple arguments element by element, mapply() can replace nested loops.
The syntax of the mapply() function is as follows:
mapply(FUN, ..., MoreArgs = NULL, SIMPLIFY = TRUE)
Parameter description:
FUNThe function to be applied.
...Multiple arguments (lists or vectors) to pass to FUN.
MoreArgsA list of fixed arguments (not participating in element-wise iteration).
Examples
# Generate sequences with mapply
result <- mapply(seq, from = c(1, 10, 100),
to = c(3, 15, 105))
print("Generated sequences:")
print(result)
# Process multiple arguments element by element
names <- c("Zhang San", "Li Si", "Wang Wu")
math <- c(88, 92, 76)
english <- c(90, 88, 82)
# Calculate the total score of each student
total <- mapply(function(n, m, e) {
paste(n, "Total score:", m + e)
}, names, math, english)
print("Each person's total score:")
print(total)
result <- mapply(seq, from = c(1, 10, 100),
to = c(3, 15, 105))
print("Generated sequences:")
print(result)
# Process multiple arguments element by element
names <- c("Zhang San", "Li Si", "Wang Wu")
math <- c(88, 92, 76)
english <- c(90, 88, 82)
# Calculate the total score of each student
total <- mapply(function(n, m, e) {
paste(n, "Total score:", m + e)
}, names, math, english)
print("Each person's total score:")
print(total)
Executing the above code produces the following output:
[1] "生成的序列:" [[1]] [1] 1 2 3 [[2]] [1] 10 11 12 13 14 15 [[3]] [1] 100 101 102 103 104 105 [1] "每人总分:" [1] "张三 总分: 178" "李四 总分: 180" "王五 总分: 158"Other Extensions