Control structures allow you to set up conditions in a programming language, to ‘automate the boring stuff’
last updated: 2022-03-16
Control structures allow you to set up conditions in a programming language, to ‘automate the boring stuff’
for() loop in R
while() conditions in R
if(), else() and ifelse()
for() example IRL
problems
for() loops are used to repeat commands a certain number of times.
for(i in 1:10){
<do this 10 times>
}
NB i is set to 1 and is incremented each cycle
NB2 i can be called anything (e.g. bob would work fine)
What will this print?
for(bob in 1:25){
print(paste("The number is", bob ))
}
while() sets a condition and a command executes while the condition is true
x = 1
# Print 1 to 5
while(x <= 5){
print(x)
x = x + 1 # condition increment
}
if() executes a command if the condition is TRUE
else() is usually used with an initial if(), and executes if TRUE
x <- 100
if(x > 10){
print(paste(x, "is greater than 10"))
}
x <- 9
if(x > 10){
print(paste(x, "is greater than 10"))
} else{
print(paste(x, "is not greater than 10"))
}
Same as previous example, different syntax
x <- 9
ifelse(test = x > 10,
yes = print(paste(x, "is greater than 10")),
no = print(paste(x, "is not greater than 10")))
go to script…
data <- data.frame(names=c('Tom', 'Bert', 'Anne'),
height = c(180, 188, 162),
country = c('England', 'Scotland', 'Wales'))
> data names height country 1 Tom 180 England 2 Bert 188 Scotland 3 Anne 162 Wales
Use write.csv() to output each line to a csv file with the name of each file being the value of the ‘names’ vector(