try anova if they have same observe points. conditions<-rep(c(1,2),each=1600) response<-sample (1:20,1600*2, replace= TRUE) points<-rep(rep(1:400, each=4),2) replicates<-rep(1:4,800) obs<-data.frame(response,conditions,points,replicates) fit <- lm(response~conditions+points,data=obs) anova(fit)
On Mar 27, 3:13 am, ali_protocol <mohammadianalimohammad...@gmail.com> wrote: > Dear all, > > Novice in statistics. > > I have 2 experimental conditions. Each condition has ~400 points as its > response. Each condition is done in 4 repereats (so I have 2 x 400 x 4 > points). > > I want to compare the means of two conditions and test whether they are same > or not. Which test should I use? > > #populations > c = matrix (sample (1:20,1600, replace= TRUE), 400 ,4) > b = matrix (sample (1:20,1600, replace= TRUE), 400 ,4) > > #means of repeats > c.mean= apply (c,2, mean) > b.mean= apply (b,2,mean) > > #mean of experiment > c.mean.all= mean (c) > b.mean.all= mean (b) > > -- > View this message in > context:http://r.789695.n4.nabble.com/How-to-test-for-the-difference-of-means... > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > r-h...@r-project.org mailing listhttps://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://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.
