The statistical analysis I want to conduct is a 2x2 factorial analysis with a single control group. There are 3 animals per group.The low n is accepted in my area of research. My factors are Treatment (No Treatment and Treatment) and Duration (Acute and 3 weeks). The No Treatment level represents an internal control. There is a treatment and no treatment value from each animal. My external control group does not fit into the factor treatment/no treatment but is actually no treatment/no treatment. Thus, the need for the single external control group in the analysis. I have found the manual way of doing this in a textbook and I am told it is widely used so I was hoping to find a way to do it in R. Please let me know if you have any further questions.
Thanks in advance for your assistance. Darcy ----- Original Message ----- From: "c06n [via R]" <ml-node+s789695n4706176...@n4.nabble.com> To: "Darcy Trimpe" <darcy.m.tri...@wmich.edu> Sent: Monday, April 20, 2015 3:09:41 PM Subject: Re: Two Factorial Experiment with a Single Control Group Hi, you will have to provide more information. * What is the statistical analysis you want to conduct? * What exactly are your factors? What are the factors composed of? * What do you mean by "single" control group? If you reply to this email, your message will be added to the discussion below: http://r.789695.n4.nabble.com/Two-Factorial-Experiment-with-a-Single-Control-Group-tp4706153p4706176.html To unsubscribe from Two Factorial Experiment with a Single Control Group, click here . NAML -- View this message in context: http://r.789695.n4.nabble.com/Two-Factorial-Experiment-with-a-Single-Control-Group-tp4706153p4706181.html Sent from the R help mailing list archive at Nabble.com. [[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.
