[R] IMPORTANT!!!! PLEASE HELP ME

[Jasmin]

Hi,
I want to generate 10000 samples from normal distribution with replacement
case and every sample size is 50. What should I do ?



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[chuck.01]

1st. Calm down, this doesn't seem that important.
Then you will need to know some base functions.
see

?rnorm

Doing this 10,000 times and making them of size 50 is no problem.

FYI: I don't understand what "with replacement case" means; could you
clarify?



Jasmin wrote

> Hi,
> I want to generate 10000 samples from normal distribution with
> replacement case and every sample size is 50. What should I do ?





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[jim holtman]

What do you want to do with the samples after you generate them? What
are the parameters for the normal distribution? You left a lot of
information out. You can generate 500,000 numbers and then store them
in a 10000x50 matrix quite easily.

--
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.

[Pete Brecknock]

jholtman wrote

> What do you want to do with the samples after you generate them? What
> are the parameters for the normal distribution? You left a lot of
> information out. You can generate 500,000 numbers and then store them
> in a 10000x50 matrix quite easily.
>

> On Sat, Nov 24, 2012 at 5:03 PM, Jasmin <

> yasemin_deniz89@

> > wrote:
>> Hi,
>> I want to generate 10000 samples from normal distribution with
>> replacement
>> case and every sample size is 50. What should I do ?
>>
>>
>>
>> --
>> View this message in context:
>> http://r.789695.n4.nabble.com/IMPORTANT-PLEASE-HELP-ME-tp4650676.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>>

> R-help@

> mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> Jim Holtman
> Data Munger Guru
>
> What is the problem that you are trying to solve?
> Tell me what you want to do, not how you want to do it.
>
> ______________________________________________

> R-help@

> mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

maybe ...

replicate(10000, rnorm(50))

could work for you

HTH

Pete



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[Pete Brecknock]

Jasmin wrote
> I try to use hansen-hurwitz and horvitz-thompson estimator.So I should
> generate samples which come from normal distribution (mu=50,sigma=3).

I have taken the liberty of scaling the problem down to something more
digestible and have changed lines 5 and 7 in your code

nsamples=10
sampsize=5
i=0
y=matrix(rnorm(nsamples*sampsize,50,3),nrow=nsamples)
s=matrix(NA,10,5)
for(i in 1:10){
s[i,]=sample(y,5,replace=T)
}

HTH

Pete



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[Jasmin]

It is my assignment and I try to use hansen-hurwitz estimator &
horvitz-thompson estimator.Therefore, I should generate samples from a type
of distribution with and without replacement. I try to use below code but I
can't do.

nsamples=1000000
sampsize=50
i=0
y=matrix(rnorm(nsamples*sampsize,50,3),nrow=nsamples)
s=matrix(1000000,50)
for(i in 1:1000000){
s[i]=sample(y,50,replace=T)
}



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[Jasmin]

I try to use hansen-hurwitz and horvitz-thompson estimator.So I should
generate samples which come from normal distribution (mu=50,sigma=3).

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[Rolf Turner]

PLEASE remember: This list has a "no homework" policy. Students
should do their own homework.

cheers,

Rolf Turner

On 25/11/12 13:18, Pete Brecknock wrote:
> Jasmin wrote
>> I try to use hansen-hurwitz and horvitz-thompson estimator.So I should
>> generate samples which come from normal distribution (mu=50,sigma=3).
> I have taken the liberty of scaling the problem down to something more
> digestible and have changed lines 5 and 7 in your code
>
> nsamples=10
> sampsize=5
> i=0
> y=matrix(rnorm(nsamples*sampsize,50,3),nrow=nsamples)
> s=matrix(NA,10,5)
> for(i in 1:10){
> s[i,]=sample(y,5,replace=T)
> }