Hello,
You need to include cc: to list in your replies.
Does this work for you?
dat1<-list()
for(i in 1:100){
dat1[[i]]<-list()
seed<-.Random.seed
dat1[[i]]<-matrix(sample(c(0.23,0.56,0.45,0.85,0.7),2500,replace=TRUE),ncol=50)
}
dat1[[1]][1]
#[1] 0.56
dat1[[2]][1]
#[1] 0.85
dat1[[3]][1]
#[1] 0.23
A.K.
________________________________
From: nooshin bahar <[email protected]>
To: R. Michael Weylandt <[email protected]>; [email protected]
Sent: Tuesday, August 14, 2012 5:48 AM
Subject: Re: [R] one problem
Hello guys
I have 5 number ((0.23, 0.56, 0.45, 0.85, 0.7) that I want to generate these
numbers in a rectangular 50*50.
But I want to have different realization.
dat1<-matrix(sample(c(0.23,0.56,0.45,0.85,0.7),2500,replace=TRUE),ncol=50)
This does work. But I want to have alot of different generation with these
datas.
I have to change seed to have different generation and have different
frequency.
Then compare between them.
best wishes
Nosohin
On Tue, Aug 14, 2012 at 7:13 AM, R. Michael Weylandt
<[email protected]> wrote:
Hi Nooshin,
>
>It's a common enough request, but it's simply not a well defined
>problem so unless you specify further, we can't help you. (I.e., the
>information you give doesn't uniquely parameterize a multivariate
>distribution)
>
>With that said, you may want to look at ?sample for basic resampling.
>
>Cheers,
>Michael
>
>
>On Mon, Aug 13, 2012 at 11:29 AM, nooshin bahar <[email protected]> wrote:
>> Dear Mr/Mrs
>> I need to generate a random data only with (0.23, 0.56, 0.45, 0.85, 0.7)
>> with known mean, SD, correlation length, in a matrix 50*50. I know R coeds
>> but in this case,
>> I could not find to generate only with finite numbers that I have. Please
>> guide me .
>> Best Regards
>> Nooshin
>>
>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> [email protected] mailing list
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>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
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and provide commented, minimal, self-contained, reproducible code.
