I have a problem where I need to identify from which subject a particular set of data points came. More specifically, my problem is that I need to demonstrate that my subjects (N=9) can be discriminated from one another, with the future goal of classifying them based on the IV's. Each subject has repeated measures of the same variables. My data can be thought of as the following:
Subject Session x1 x2 A 1 5 110 A 2 7 115 B 1 15 84 B 2 12 91 . . . . . . . . . . . . I 1 18 106 I 2 15 100
Is using LDA a valid approach to classify subjects based on measured variables? I am concerned that this is not the case, since each group has only 1 subject (as it is defined as the subject!).
I am aware that special precautions must be taken with the repeated measures design of the data; however, as of now I am more concerned with the validity of using LDA to classify subjects.
Thank you for your input!