Control structures in R allow the flow of program execution to be controlled according to runtime conditions in a manner not unlike any other imperative language (such as C, Java, Python), let’s take a quick look at the reserved words dedicated to control structures
if
,else
: testing a conditionfor
: executing a loop for a fixed number of times- while: executing a loop while/as long as the condition is true
repeat
: executing an infinite loopbreak
: interrupts execution of a loopnext
: skips an iteration of a loop (the continuation of C or Java for that matter)return
: exits a function or loop Most control structures are not used in interactive sessions, but rather when writing functions or longer expressions. Let us take a detailed look at the various constructs.if,else
if(<condition>) {
# do something branch if
} else {
# do something branch else
}
if(<condition1>) {
# do something if condition 1
} else if(<condition2>) {
# do something if condition 2
} else {
# does something in all other cases
}
An example of if else
if(x > 10) {
y <- 0
} else {
y <- 1
}
for
The for uses a variable as an iterator (the variable i in the example) and assigns successive values from a sequence or vector. For’s are commonly used for iterating over the elements of an object (list, vector, etc. )
for(i in 1:10) {
print(i)
}
This loop takes the variable i and in each iteration of the loop uses its values 1, 2, 3, …, 10, and exits
these 3 loops have the same behaviour
x <- c("a", "b", "c", "d")
for(i in 1:4) {
print(x[i])
}
for(i in seq_along(x)) {
print(x[i])
}
for(letter in x) {
print(letter)
}
for(i in 1:4) print(x[i])
for loops can of course be nested as in any other programming language.
x <- matrix(1:6, 2, 3)
for(i in seq_len(nrow(x))) {
for(j in seq_len(ncol(x))) {
print(x[i, j])
}
}
and likewise care must be taken when nesting for more than 3 or 4 levels as it often makes a code fragment unreadable.
while
While loops begin by testing a condition, if it is true, then they execute the body of the loop. Once the loop body is executed, the condition is tested again, and so on .
count <- 0
while(count < 10) {
print(count)
count <- count + 1
}
repeat
repeat
starts an infinite loop; the only way to get out of a repeat loop is to call break
.
repeat {
x <- f()
if(x<10) {
break
} else {
x <- x-1
}
}
next, return
next is used to skip an iteration of a loop
for(i in 1:100) {
if(i <= 20) {
## skip 20 iterations
next
}
## does null
}
return signals that a function has terminated and must return a value