Re: [R] bootstrap sampling using sample

2008-01-29 Thread Henrique Dallazuanna
see ?set.seed On 29/01/2008, Majnu John <[EMAIL PROTECTED]> wrote: > Hello All, > > I used sample(..., replace = TRUE) repeatedly to generate 100 > bootstrap samples of a data that I'm working with. If I re-run my codes, > it'll generate a different set of 100 bootstrap samples. > > Is there a

[R] bootstrap sampling using sample

2008-01-29 Thread Majnu John
Hello All, I used sample(..., replace = TRUE) repeatedly to generate 100 bootstrap samples of a data that I'm working with. If I re-run my codes, it'll generate a different set of 100 bootstrap samples. Is there any way that I can get the same set of 100 bootstrap re-samples at each re-run

Re: [R] bootstrap sampling

2008-01-15 Thread sigalit mangut-leiba
I used sample like you suggested. Thank you, Sigalit. On 1/15/08, Zhengyang Sun <[EMAIL PROTECTED]> wrote: > > Hi Sigalit, > use ?sample. hope the example below answers your question: > > aa<-rnorm(20,3,0.6) > > aa > [1] 2.348048 2.535320 2.773491 3.051137 2.574342 3.636812 3.267405 > 2.475192 >

Re: [R] bootstrap sampling

2008-01-15 Thread Julian Burgos
See rnorm(). If you are sampling from a continuous normal distribution, it makes no sense to define a sample with replacement, because the probability of sampling twice the same number is zero. Julian sigalit mangut-leiba wrote: > Hello, > How do I sample observations with replacement from a n

[R] bootstrap sampling

2008-01-15 Thread sigalit mangut-leiba
Hello, How do I sample observations with replacement from a normal distribution with a specific mean and s.d? (I want to see the sample, not only the statistic.) Thank you, Sigalit. [[alternative HTML version deleted]] __ R-help@r-project.org ma