calculating mean for samples

I dont have a problem with sampling and calculating mean:

for(i in 1:5){
 res=(A1[sample(nrow(A1), 5),])
 Avg=colMeans(res)
 STD=sd(res)
 print(res)
 print(Avg)
 print(STD)
 }

my problem is how to save the mean for each "S" in each sample and calculate
the grand mean



--- On Mon, 10/20/08, stephen sefick <ssefick at gmail.com> wrote:

From: stephen sefick <ssefick at gmail.com>
Subject: Re: [R] calculating mean for samples
To: "Alex99" <loyola9988 at yahoo.com>
Date: Monday, October 20, 2008, 11:34 AM

look at
?sample
?lapply
?mean

On Mon, Oct 20, 2008 at 1:53 PM, Alex99 <loyola9988 at yahoo.com> wrote:

 Hi everyone,

does any one knows how can I calculate mean for different samples
i.e. I have a data like this:

 s1 s2 s3 s4
1   0  0  0  1
2   1  0  1  0
3   0  0  0  0
4   0  0  0  0
5   0  1  0  1
6   1  0  0  0
7   0  0  0  0
8   0  0  0  0
9   0  0  0  0
10  0  0  0  1

I need to make 5 different sample with 5 different persons(rows) in

each

sample from it keeping s1,s3,s3,s4 but changing rows. and then

calculate

the mean for each "S" in each sample. and finally calculate

the grand

mean,which is the mean of means for each sample. i.e. if I sample 5

time I

get 5 different means for s1, s2, s3, s4. then I need to add all five
means for and divide it by 5.(of course I have to do it

 for
s1,s2,s3,s4

separately)

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