Thank you very much, now i can proceed to my next task. THANK YOU
--- On Wed, 9/9/09, Schalk Heunis <schalk.heu...@enerweb.co.za> wrote:
From: Schalk Heunis <schalk.heu...@enerweb.co.za>
Subject: Re: [R] Combining simulated data
To: "KABELI MEFANE" <kabelimef...@yahoo.co.uk>
Cc: R-help@r-project.org
Date: Wednesday, 9 September, 2009, 8:45 PM
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<kabelimef...@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.
>
>
>
>
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>
>
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>
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