Basically, i have 4 tests and 1 control. For example.
Tester Test1 Test2 Test3 Test4 20 25 15 10 30 45 10 15 .. .. .. .. .. .. .. .. 15 23 13 45 The inference is at alpha=0.05. they are all independent. I am trying to find if they differ or the same. Do i use the following method. Step 1. I create matrix using data.frame. for example test1<-c(20,30..etc) Step2. is this correct? or do i use aov().. anova(lm(dependent~independent*independent, data=name) this is what i am confuse. I think i did something wrong. I need to find the correct F statistic test. any help. thanks. thanks. -- View this message in context: http://www.nabble.com/Anova-F-Test-tf3759431.html#a10625662 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ [email protected] 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.
