Hi Nicoletta,
You need to read more introductory material.
One of the problems with your code is that you actually don't create any
value, let alone any vector; you just display it with cat().
Then you try to create each value of your vector with an explicit for
loop, but you don't need to; replicate() does the job in a compact code.
So if I understand correctly what you want to achieve, I would do this:
kolmo <- function(x, meanR=0, sdR=1, repet=1){
out <- replicate(repet, mean(rnorm(x, meanR, sdR)))
return(out)
}
# I changed the names of your arguments to make it less confusing (but I
wasn't imaginative)
# I set some default values for 'meanR' and 'sdR', which are actually
the defaults of rnorm()
# 'return(out)' is not necessary but I prefer to explicitly write what I
want the function to output
Example:
kolmo(x=10, repet=3)
HTH,
Ivan
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Le 23/05/2016 à 11:30, Nicoletta Sabov a écrit :
Hi there,
I need a function, that calculates the mean of a desired amount of normally
distributed numbers and repeats this process for a desired number of
repetitions. The function should return only a single vector consisting solely
of the calculated means. Also the user of this function must be able to specify
the parameters of the normal distribution used while calculating the means. I
need this function for the Kolmogorov Smirnov Test.
I am a total beginner, so far I only have come to this point:
kolmo <- function(x, mean, sd, rep){
for(i in rep){
cat(mean(rnorm(x, mean, sd)))
}}
This returns a simple number, but I do need a vector to be returned.
Thanks a lot in advance!
[[alternative HTML version deleted]]
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