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 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 f...{{dropped:28}} ______________________________________________ R-help@r-project.org<mailto: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. [[alternative HTML version deleted]] ______________________________________________ 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.
