insem...@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 wrote:
>
> But of course the whole point of additivity is to
erated 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/n
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 fourth group
> of no drugA/yes dr
ning
> three separate T tests?
> > >
> > > 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);
>
o 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 think we can not investigate interacti
-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 (no
> 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
> > Cc: r-help@
,
>
>
> 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
>
>
> [Atte
= 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 y
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 fourt
13 matches
Mail list logo
