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Subject: Re: [R] help on permutation/randomization test
Thanks, Greg.
I also considered the clusters. The difficulty is those objects not only enter
the system at different time, but may have different duration in the system.
Once they have a time overlap in the system, impacts may exis
gt; From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
> On Behalf Of Wenjin Mao
> Sent: Tuesday, May 24, 2011 11:22 AM
> To: Meyners, Michael
> Cc: r-help@r-project.org
> Subject: Re: [R] help on permutation/randomization test
>
> Thank you, Michael.
>
&
AM
To: Meyners, Michael
Cc: r-help@r-project.org
Subject: Re: [R] help on permutation/randomization test
Thank you, Michael.
I don't think those data for the same group can be treated as repeated
measurements. Let's say I have 1000 observations from group 1 and 1500 obs
from group 2. So
(or at least
> reasonably assume observations to be independent), I'm not very
> optimistic...
> HTH, Michael
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of Wenjin Mao
> > Sent: Mo
optimistic...
HTH, Michael
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Wenjin Mao
> Sent: Monday, May 23, 2011 20:56
> To: r-help@r-project.org
> Subject: [R] help on permutation/randomization test
>
Hi,
I have two groups of data of different size:
group A: x1, x2, , x_n;
group B: y1, y2, , y_m; (m is not equal to n)
The two groups are independent but observations within each group are
not independent,
i.e., x1, x2, ..., x_n are not independent; but x's are independent from y's
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