...@comcast.net]
Sent: Monday, March 05, 2018 3:55 PM
To: Bert Gunter
Cc: Ding, Yuan Chun; r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
> On Mar 5, 2018, at 3:04 PM, Bert Gunter <bgunter.4...@gmail.com> wrote:
>
> But of course the whole poin
t; >
> > > Thank you so much!!
> > >
> > > Ding
> > >
> > > I need to analyze data generated from a partial two-by-two factorial
> > > design: two levels for drug A (yes, no), two levels for drug B (yes, no);
> > >
;
> Ding
>
>
>
> *From:* Bert Gunter [mailto:bgunter.4...@gmail.com]
> *Sent:* Monday, March 05, 2018 2:27 PM
> *To:* David Winsemius
> *Cc:* Ding, Yuan Chun; r-help@r-project.org
>
> *Subject:* Re: [R] data analysis for partial two-by-two factorial design
>
>
&g
by-two factorial
> design: two levels for drug A (yes, no), two levels for drug B (yes, no);
> however, data points are available only for three groups, no drugA/no
> drugB, yes drugA/no drugB, yes drugA/yes drug B, omitting the fourth group
> of no drugA/yes drugB. I thin
group
> > of no drugA/yes drugB. I think we can not investigate interaction between
> > drug A and drug B, can I still run model using R as usual: response
> > variable = drug A + drug B? any suggestion is appreciated.
>
> Replie
-help-boun...@r-project.org] On Behalf Of Ding, Yuan Chun
Sent: Monday, March 05, 2018 2:45 PM
To: Bert Gunter; David Winsemius
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
Hi Bert and David,
Thank you so much for willingness to spend some time on
, March 05, 2018 2:27 PM
To: David Winsemius
Cc: Ding, Yuan Chun; r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
David:
I believe your response on SO is incorrect. This is a standard OFAT (one factor
at a time) design, so that assuming additivity
drug A + drug B? any suggestion is appreciated.
>
> Replied on CrossValidated where this would be on-topic.
>
> --
> David,
>
> >
> >
> > From: Bert Gunter [mailto:bgunter.4...@gmail.com]
> > Sent: Friday, March 02, 2018 12:32 PM
> > To: Ding, Yuan Chun
&g
e on-topic.
--
David,
>
>
> From: Bert Gunter [mailto:bgunter.4...@gmail.com]
> Sent: Friday, March 02, 2018 12:32 PM
> To: Ding, Yuan Chun
> Cc: r-help@r-project.org
> Subject: Re: [R] data analysis for partial two-by-two factorial design
>
>
= drug A + drug B?
any suggestion is appreciated.
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Friday, March 02, 2018 12:32 PM
To: Ding, Yuan Chun
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two factorial design
[Attention
Hi Bert,
Thank you so much for your direction, I have asked a question on stackexchange
website.
Ding
From: Bert Gunter [mailto:bgunter.4...@gmail.com]
Sent: Friday, March 02, 2018 12:32 PM
To: Ding, Yuan Chun
Cc: r-help@r-project.org
Subject: Re: [R] data analysis for partial two-by-two
This list provides help on R programming (see the posting guide linked
below for details on what is/is not considered on topic), and generally
avoids discussion of purely statistical issues, which is what your query
appears to be. The simple answer is yes, you can fit the model as
described, but
Dear R users,
I need to analyze data generated from a partial two-by-two factorial design:
two levels for drug A (yes, no), two levels for drug B (yes, no); however,
data points are available only for three groups, no drugA/no drugB, yes
drugA/no drugB, yes drugA/yes drug B, omitting the
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