search for: crd2

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2010 Mar 06
1
TukeyHSD model thing
...============== x=c(145,40,40,120,180, 140,155,90,160,95, 195,150,205,110,160, 45,40,195,65,145, 195,230,115,235,225, 120,55,50,80,45 ) y2=c( rep(as.character(1),5), rep(as.character(2),5), rep(as.character(3),5), rep(as.character(4),5), rep(as.character(5),5), rep(as.character(6),5) ) crd2=data.frame(x,y2) model1=aov(x~y2,data=crd2) TukeyHSD(model1) ========================== The result in the 'diff' of the means are the same as those did using SAS, (which is in my tutorial sheet, i got a MAC, so cant use SAS) however, the 95% confiden limits are quite different. ========...
2010 Mar 06
0
Fisher's LSD and tukey output thing
...============ x=c(145,40,40,120,180, 140,155,90,160,95, 195,150,205,110,160, 45,40,195,65,145, 195,230,115,235,225, 120,55,50,80,45 ) y2=c( rep(as.character(1),5), rep(as.character(2),5), rep(as.character(3),5), rep(as.character(4),5), rep(as.character(5),5), rep(as.character(6),5) ) crd2=data.frame(x,y2) model1=aov(x~y2,data=crd2) TukeyHSD(model1) ============================= I can do the HSD like that, Q1-but how do I do the Fisher's LSD? Q2-and how can I do that table in the attachement (page 8/9)? ( i dont know how to describe that thing, orginally produced in SAS) Q3-...