On 10/14/2011 4:10 PM, Bert Gunter wrote:
If I understand what you want to do, it's simple. 2^15 is small (only
about 33000), so you can generate all the possible means (sums,
actually) and and find the population quantile for your result. If
avals is the vector of 15 absolute values, the compl
If I understand what you want to do, it's simple. 2^15 is small (only about
33000), so you can generate all the possible means (sums, actually) and and
find the population quantile for your result. If avals is the vector of 15
absolute values, the complete distribution is:
allsums <- as.matrix(exp
On 10/14/2011 1:20 PM, Weidong Gu wrote:
On Fri, Oct 14, 2011 at 11:38 AM, Michael Friendly wrote:
Hi all
Consider the classic data below from Darwin on the heights of 15 pairs of
zea mays (corn) plants
either cross-fertilized or self-fertilized, where the goal is to see if it
makes a differenc
Michael Friendly wrote on 10/14/2011 10:38:44 AM:
>
> Hi all
> Consider the classic data below from Darwin on the heights of 15 pairs
> of zea mays (corn) plants
> either cross-fertilized or self-fertilized, where the goal is to see if
> it makes a difference.
>
> > head(ZeaMays)
>pair pot
On Fri, Oct 14, 2011 at 11:38 AM, Michael Friendly wrote:
> Hi all
> Consider the classic data below from Darwin on the heights of 15 pairs of
> zea mays (corn) plants
> either cross-fertilized or self-fertilized, where the goal is to see if it
> makes a difference.
>
>> head(ZeaMays)
> pair pot
Hi all
Consider the classic data below from Darwin on the heights of 15 pairs
of zea mays (corn) plants
either cross-fertilized or self-fertilized, where the goal is to see if
it makes a difference.
> head(ZeaMays)
pair pot cross self diff
11 1 23.500 17.375 6.125
22 1 12.0
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