kinds, to get four counts by condition. These events are probably
independent within your setting.
You should then be able to test various binomial or Poisson models with
the proper equality constraints.
HTH,
Yvonnick Noel, PhD
University of Brittany at Rennes
France
Re: [R] Comparing two groups
On 10/06/2008, at 6:08 PM, Ivan Adzhubey wrote:
Hi Rolf,
On Monday 09 June 2008 11:16:57 pm Rolf Turner wrote:
Your approach tacitly assumes --- as did the poster's question ---
that
the probability of passing an item by one method is *independent* of
whether it is passed by the other metho
12:09 AM
> To: r-help@r-project.org
> Subject: Re: [R] Comparing two groups of proportions
>
> Hi Rolf,
>
> On Monday 09 June 2008 11:16:57 pm Rolf Turner wrote:
> > Your approach tacitly assumes --- as did the poster's question ---
> > that the probability of pas
__________________
> > From: [EMAIL PROTECTED] [EMAIL PROTECTED]
> > On Behalf Of Ivan Adzhubey [EMAIL PROTECTED]
> > Sent: Monday, June 09, 2008 4:28 PM
> > To: r-help@r-project.org
> > Subject: [R] Comparing two groups of proportions
> >
> > Hi
9:16 PM
To: Greg Snow
Cc: R-help forum
Subject: Re: [R] Comparing two groups of proportions
Your approach tacitly assumes --- as did the poster's question --- that
the probability of passing an item by one method is *independent* of
whether it is passed by the other method. Which makes t
On Behalf Of Ivan Adzhubey [EMAIL PROTECTED]
Sent: Monday, June 09, 2008 4:28 PM
To: r-help@r-project.org
Subject: [R] Comparing two groups of proportions
Hi,
I have a seemingly common problem but I can't find a proper way to
approach
it. Let's say we have 5 samples (different size) of I
on
lines), testing if that equals 0 should answer your question.
Hope this helps,
From: [EMAIL PROTECTED] [EMAIL PROTECTED] On Behalf Of Ivan Adzhubey [EMAIL
PROTECTED]
Sent: Monday, June 09, 2008 4:28 PM
To: r-help@r-project.org
Subject: [R] Comparing two
Hi,
I have a seemingly common problem but I can't find a proper way to approach
it. Let's say we have 5 samples (different size) of IC circuits coming from 5
production lines (A, B, C, D, E). We apply two different non-destructive QA
procedures to each sample, producing to sets of binary outcom
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