Dear William,

Following Jim Holtman's solution to your previous post, you can do something
similar to

Bill <- 1:100  # test data
Bill.p <- split(Bill, rep(1:10, each=10))
sapply(Bill.p, function(x) mean(x)/0.8)
1       2       3       4       5       6       7       8       9      10
  6.875  19.375  31.875  44.375  56.875  69.375  81.875  94.375 106.875
119.375

HTH,

Jorge



On Tue, Jun 3, 2008 at 10:36 PM, William Pepe <williampepe@hotmail.com>
wrote:

>
> This is just a slight modification of a question I asked earlier. Thanks to
> all the responders.
>
> I have a data set(Bill) of with 1 variable (var1), with 100 obs that are in
> ascending order. I want to sample every 10 observations and save them in 10
> different groups such as   Group1 is obs 1-10  Group 2 is obs-11-20 ....
> Subset data into the 10 groups, then calculate the mean/0.8 of var1 for each
> of the 10 groups.
> The mean/0.8 is the modification. Thanks.
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