R_WEEK7: Functions
We know that there are many R functions organized in different packages, but we need to familiar with those functions like how and where to use. When we have a particular requirement then it’s better to write our own function and implement it.
i’m listing some of the built in functions we are familiar with, toupper(), substr(), paste(), summary(), mean(), hist(), rnorm(), abs(), sqrt(), ceiling(), floor(), trunc(), log() etc…
Functions in R are created using the function() directive and they are stored as objects i.e. they are R objects of class “function” means .
fun <- function(<arguments>) {
# Write your requirements
}
1. Simple function without any arguments
hello_pinn <- function(){
print(‘Hello pinnaclevex’)
}
Hello_pinn()
2. Simple function with a single argument
name_fun <- function(name){
print(paste(‘Hello pinnaclevex ‘, name))
}
name_fun(‘KA Analytics’)
3. Simple function with two argument
mult_fun <- function(ar1, ar2){
print(ar1*ar2)
}
mult_fun(3, 9)
4. Function with default argument values
hey_p <- function(name=’pinnaclevex’) {
print(paste(‘Hey’, name))
}
hello_p()
hello_p(‘KA’)
hello_p(name=’Analytics’)
5. Returning the value from a Function with Return
full_nam <- function(name1=’pinnaclevex’, name2=’KA Analytics’) {
return(paste(name1,’ ‘, name2))
}
full_nam()
full_nam(‘KA’)
full_nam(name=’Analytics’)
Happy Learning !!! :)
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