Hi I do not understand much about your equations. I think you shall look to Practical Regression and Anova Using R from J.Faraway.
Having data frame DF with columns - users, groups, results you could do fit <- lm(results~groups, data = DF) Regards Petr > > Hi, > > I'm a newbie to R. My knowledge of statistics is mostly self-taught. My > problem is how to measure the effect of users in groups. I can calculate a > particular attribute for a user in a group. But my hypothesis is that the > user's attribute is not independent of each other and that the user's > attribute depends on the group ie that user's behaviour change based on the > group. > > Let me give an example: > > users*Group 1*Group 2*Group 3 > u1*10*5*n/a > u2*6*n/a*4 > u3*5*2*3 > > For example, I want to be able to prove that u1 behaviour is different in > group 1 than other groups and the particular thing about Group 1 is that > users in Group 1 tend to have a higher value of the attribute under > measurement. > > > Hence, can use R to test my hypothesis. I'm willing to learn; so if this is > very simple, just point me in the direction of any online resources about > it. At the moment, I don't even how to define these class of problems? That > will be a start. > > Regards > Gawesh > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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. ______________________________________________ R-help@r-project.org mailing list 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.
