I am a little confused about the switch statement in R. Simply googling the function I get an example as follows:
A common use of switch is to branch according to the character value of one of the arguments to a function.
> centre <- function(x, type) {
+ switch(type,
+ mean = mean(x),
+ median = median(x),
+ trimmed = mean(x, trim = .1))
+ }
> x <- rcauchy(10)
> centre(x, "mean")
[1] 0.8760325
> centre(x, "median")
[1] 0.5360891
> centre(x, "trimmed")
[1] 0.6086504
However this just seems to be the same as just having a bunch of if
statements designated for each type
Is that all there is to switch()
? Can someone give me further examples and better applications?
The switch statement evaluates an expression, matching the expression's value against a series of case clauses, and executes statements after the first case clause with a matching value, until a break statement is encountered.
So, printf(“2+3 makes 5”) is executed and then followed by break; which brings the control out of the switch statement. Other examples for valid switch expressions: switch(2+3), switch(9*16%2), switch(a), switch(a-b) etc.
The switch statement or switch case in java is a multi-way branch statement. Based on the value of the expression given, different parts of code can be executed quickly. The given expression can be of a primitive data type such as int, char, short, byte, and char.
Generally you will see a switch statement used when there are choices for a user to select or many possible outcomes can be returned from other code that feeds into it. Like in code that gets user input or like possible server or client replies in networking like niteOwlTwO said.
Well, timing to the rescue again. It seems switch
is generally faster than if
statements.
So that, and the fact that the code is shorter/neater with a switch
statement leans in favor of switch
:
# Simplified to only measure the overhead of switch vs if
test1 <- function(type) {
switch(type,
mean = 1,
median = 2,
trimmed = 3)
}
test2 <- function(type) {
if (type == "mean") 1
else if (type == "median") 2
else if (type == "trimmed") 3
}
system.time( for(i in 1:1e6) test1('mean') ) # 0.89 secs
system.time( for(i in 1:1e6) test2('mean') ) # 1.13 secs
system.time( for(i in 1:1e6) test1('trimmed') ) # 0.89 secs
system.time( for(i in 1:1e6) test2('trimmed') ) # 2.28 secs
Update With Joshua's comment in mind, I tried other ways to benchmark. The microbenchmark seems the best. ...and it shows similar timings:
> library(microbenchmark)
> microbenchmark(test1('mean'), test2('mean'), times=1e6)
Unit: nanoseconds
expr min lq median uq max
1 test1("mean") 709 771 864 951 16122411
2 test2("mean") 1007 1073 1147 1223 8012202
> microbenchmark(test1('trimmed'), test2('trimmed'), times=1e6)
Unit: nanoseconds
expr min lq median uq max
1 test1("trimmed") 733 792 843 944 60440833
2 test2("trimmed") 2022 2133 2203 2309 60814430
Final Update Here's showing how versatile switch
is:
switch(type, case1=1, case2=, case3=2.5, 99)
This maps case2
and case3
to 2.5
and the (unnamed) default to 99
. For more information, try ?switch
In short, yes. But there are times when you might favor one vs. the other. Google "case switch vs. if else". There are some discussions already on SO too. Also, here is a good video that talks about it in the context of MATLAB:
http://blogs.mathworks.com/pick/2008/01/02/matlab-basics-switch-case-vs-if-elseif/
Personally, when I have 3 or more cases, I usually just go with case/switch.
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