> On Mar 5, 2018, at 8:52 AM, Ding, Yuan Chun <ycd...@coh.org> wrote: > > Hi Bert, > > I am very sorry to bother you again. > > For the following question, as you suggested, I posted it in both Biostars > website and stackexchange website, so far no reply. > > I really hope that you can do me a great favor to share your points about how > to explain the coefficients for drug A and drug B if run anova model > (response variable = drug A + drug B). is it different from running 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); 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 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.
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@r-project.org > Subject: Re: [R] data analysis for partial two-by-two factorial design > > ________________________________ > [Attention: This email came from an external source. Do not open attachments > or click on links from unknown senders or unexpected emails.] > ________________________________ > > 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 you > clearly need the off topic discussion as to what it does or does not mean. > For that, you might try the > stats.stackexchange.com<http://stats.stackexchange.com> statistical site. > > Cheers, > Bert > > > Bert Gunter > > "The trouble with having an open mind is that people keep coming along and > sticking things into it." > -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) > > On Fri, Mar 2, 2018 at 10:34 AM, Ding, Yuan Chun > <ycd...@coh.org<mailto:ycd...@coh.org>> wrote: > 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 fourth 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. > > Thank you very much! > > Yuan Chun Ding > > > --------------------------------------------------------------------- > -SECURITY/CONFIDENTIALITY WARNING- > This message (and any attachments) are intended solely...{{dropped:31}} ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
