This is really a statistical question and not about R, and purely

statistical questions are typically off topic here. I note that there

is a "boot" package that you may wish to consider, and searching on

"bootstrapping" on rseek.org -- which you should always do before

posting here -- produced what looked like a number of relevant hits.

Otherwise, try posting your question on stats.stackexchange.com, which

*is* concerned with statistical issues.

Cheers,

Bert

Bert Gunter

"The trouble with having an open mind is that people keep coming along

and sticking things into it."

-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sat, Feb 11, 2017 at 3:55 AM, Tahereh Dehdarirad <

[hidden email]> wrote:

> Dear R group,

>

> I have some question regarding bootstrapping in R. I wish to use

> independent samples bootstrapped T-test. I would like to know: 1 how I can

> calculate p and t values.2. for means and CI of each sample, should I

> report the bootstrapped mean and CI of each group? and not the ones

> obtained from t-test?

>

> I used the following code with regard to t-test (t value and p value), So,

> I wonder if it is correct with regard to t and p values?

>

> AVGMR=Names_first_last$`Avg_ Readars-Mendeley`

>

> B <- 1000

> t.star = numeric(B)

> t.vect <- vector(length=B)

> p.vect <- vector(length=B)

> for(i in 1:B){ boot.c <- sample(subset(AVGMR, Gender==1), replace=T)

> boot.c <- sample(subset(AVGMR, Gender==2), replace=T)

> ttest <- t.test(boot.c, boot.p)

> t.vect[i] <- ttest$statistic

> p.vect[i] <- ttest$p.value

> }

>

> I would be really grateful if you could please help me with regard to my

> both questions.

>

> Kind regards,

>

> Tahereh Dehdarirad, PhD

> Department of Library and Information Science

> University of Barcelona, Spain

>

> [[alternative HTML version deleted]]

>

> ______________________________________________

>

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______________________________________________

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https://stat.ethz.ch/mailman/listinfo/r-helpPLEASE do read the posting guide

http://www.R-project.org/posting-guide.htmland provide commented, minimal, self-contained, reproducible code.