to:[EMAIL PROTECTED]
> project.org] On Behalf Of Ray Brownrigg
> Sent: Thursday, October 16, 2008 2:36 PM
> To: r-help@r-project.org
> Cc: 'David Afshartous'; Bert Gunter
> Subject: Re: [R] Loop avoidance in simulating a vector
>
> If you want to avoid using a loop, ra
; using hidden interpreted loops).
>
> -- Bert Gunter
>
> -Original Message-
> From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
> Behalf Of Christos Hatzis
> Sent: Thursday, October 16, 2008 1:06 PM
> To: 'David Afshartous'; r-help@r-project.org
> Subject
TED]; 'David Afshartous';
> r-help@r-project.org
> Subject: RE: [R] Loop avoidance in simulating a vector
>
> mapply is still a (disguised) loop (at the interpreted
> level). So other than improving code readability (always a
> good thing!), it shouldn't make mu
[EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Christos Hatzis
Sent: Thursday, October 16, 2008 1:06 PM
To: 'David Afshartous'; r-help@r-project.org
Subject: Re: [R] Loop avoidance in simulating a vector
Have a look at mapply.
-Christos
> -Original Message-
>
Have a look at mapply.
-Christos
> -Original Message-
> From: [EMAIL PROTECTED]
> [mailto:[EMAIL PROTECTED] On Behalf Of David Afshartous
> Sent: Thursday, October 16, 2008 3:47 PM
> To: r-help@r-project.org
> Subject: [R] Loop avoidance in simulating a vector
>
&
All,
I'd like to simulate a vector that is formed from many distinct
distributions and avoid a loop if possible. E.g, consider:
mu = c(1, 2, 3)
sigma = c(1, 2, 3)
n = c(10, 10, 10)
And we simulate a vector of length 30 that consists of N(mu[i], sigma[i])
distributed data, each of length n[i]
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