I\'ve been running ezANOVA using R followed by pairwise comparisons (pairwise.t.test...)
There seems to be output not included(?) once run so I have the following qu
In response to your second question, how to extract t-values from pairwise.t.test. It occurred to me that having the degrees of freedom from your data, and the precise p-values would allow you to use the qt() function to determine the t-values. Example:
myTTests<-pairwise.t.test(vector1,vector2
,p.adjust.method = "none"
)
qt(myTTests[[3]],degreesOfFreedom)