Kabeli
I think this is what you want:
Hypermarket <- matrix(rnorm(10, mean=20000, sd=7000))
Supermarket <- matrix(rnorm(15, mean=12000, sd=4000))
Minimarket <- matrix(rnorm(20, mean=10000, sd=4000))
Cornershop <- matrix(rnorm(20, mean= 8000, sd=3000))
Spazashop <- matrix(rnorm(35, mean= 7000, sd=3000))
rbind(Hypermarket,Supermarket,Minimarket,Cornershop,Spazashop)
This creates a matrix with one column and 100 rows. You can add names
also by doing something like this for e.g. Spazashop
Spazashop <- matrix(rnorm(35, mean= 7000, sd=3000), dimnames
list(paste("Spazashop",1:35)))
Hope this helps.
Schalk Heunis
On Wed, Sep 9, 2009 at 2:26 AM, KABELI MEFANE<kabelimefane at yahoo.co.uk>
wrote:> R helpers
>
> Please help me combine the simulated data to?a form of table where:
Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35
rows.
>
> Hypermarket <- rnorm(10, mean=20000, sd=7000)
> Supermarket <- rnorm(15, mean=12000, sd=4000)
> Minimarket? ?<- rnorm(20, mean=10000, sd=4000)
> Cornershop? <- rnorm(20, mean= 8000, sd=3000)
> Spazashop?? <- rnorm(35, mean= 7000, sd=3000)
>
> i am trying to write a code to simulate data such that i have 10% of
hypermarkets, 15% of supermarkets,etc.
>
>
>
>
> ? ? ? ?[[alternative HTML version deleted]]
>
>
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