Dear Mr Weylandt and R helpers,

Thanks a lot for your suggestion. Unfortunately the "return" statement in my original R code returns me different results which are obtained after processing the function I have constructed. 

My requirement for storing the product-wise random numbers is just a part of my whole exercise. For each of the products, I generate a set of random no.s, process these, construct some statistics and obtain these statistics using the "Return" statement. So for each of the products, I get these set of statistics generated and that is not my problem. 

My problem is "BESIDES getting my required output (which anyways I am getting)", I need the product-wise random numbers I have already generated and store them together in a single data.frame. So a single data.frame gives me all the product wise random nos.

I am reproducing my problem once again -

# ____________________________________


library(plyr)
n = 100

my_code = function(product, output_avg, output_stdev)

    {

BUR_mc = rnorm(n, output_avg, output_stdev)

sim_BUR = data.frame(product, BUR_mc)

write.csv(data.frame(sim_BUR), 'sim_BUR.csv', row.names = FALSE) 
 
return(list(output_avg, output_stdev))   

    }


result <- dlply(.data = My_data, .variables = "product", .fun = function(x)
                
 my_code(product = x$product, output_avg = x$output_avg,
                 output_stdev = x$output_stdev))


There
 are some 12 products (and this may vary each time). In my original 
code, the "return" statement returns me some other output. Here for 
simplicity sake, I am just using the values as given in input.


PROBLEM 

I
 want to store the random no.s (BUR_mc) as generated above for each of 
the products and store them in a single data.frame. Now when I access 
'sim_BUR.csv', I get the csv file where the random nos. generated for 
the last product are getting stored. I need something like

product          random no
product1         .......
product1        
 .......
.............................

product1         .......                  # (There will be 100 such values for product1)
product2         .......
product2         .......

............................
............................
product12       ...... 
............................
product12       .......  


Thanking you in advance

Vincy


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