better loop for simulation

use replicate:

stud.score <- function(n.questions, mult.choice = 2) {

+          prob.success <- 1 / mult.choice
+          answers <- (runif(n.questions) < prob.success)
+          return(sum(answers))
+  }

# create 1000 results
result <- replicate(1000, stud.score(10))

# look at histogram
stem(result)

The decimal point is at the |
   0 | 0
   1 | 0000000000000
   2 | 000000000000000000000000000000000000000000000000000000000
   3 |
00000000000000000000000000000000000000000000000000000000000000000000+26
   4 |
00000000000000000000000000000000000000000000000000000000000000000000+116
   5 |
00000000000000000000000000000000000000000000000000000000000000000000+153
   6 |
00000000000000000000000000000000000000000000000000000000000000000000+142
   7 |
00000000000000000000000000000000000000000000000000000000000000000000+35
   8 | 00000000000000000000000000000000000000000000
   9 | 000000000000
  10 | 0


Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

On Sat, Jun 18, 2016 at 6:12 PM, Naresh Gurbuxani <

I want to calculate a function many times over.  My solution below works,
but does not seem very elegant.

# my function to run many times over
stud.score <- function(n.questions, mult.choice = 2) {
        prob.success <- 1 / mult.choice
        answers <- (runif(n.questions) < prob.success)
        return(sum(answers))
}

# my method to run above function 1000 times and store results
count.df <- data.frame(n.count = rep(10, 1000))
scores.df <- apply(count.df, 1, function(x) return(stud.score(x)))

Creating a data frame just to repeat the the count seems wasteful.  How
can I generate scores.df without count.df?

Thanks,
Naresh

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