I have a data set in the format below. I would like to perform a factor analysis on BM1-BM20 as they are 20 biomechanical measurements of the trial (hitting a baseball). However, my observations are not independent and, I assume, I have to account for this. I have consulted the R literature via RSeek and Google (and I have consulted some very knowledgeable colleagues) and cannot find any method of doing this in R. Is someone aware of a method of reducing the 20 biomechanical measurements?
Thank you for your help. Greg ID PitchType Location SwingNumber BM1...BM20 Hit Velocity 1 Fastball 1 1 xx ... xx 1 62 1 Fastball 1 2 xx ... xx 1 68 1 Fastball 1 3 xx ... xx 0 1 Fastball 1 4 xx ... xx 0 1 Fastball 1 5 xx ... xx 1 71 1 Fastball 2 1 xx ... xx 0 1 Fastball 2 2 xx ... xx 1 61 1 Fastball 2 3 xx ... xx 1 64 1 Fastball 2 4 xx ... xx 1 59 1 Fastball 2 5 xx ... xx 0 1 Fastball 2 6 xx ... xx 0 1 Fastball 2 7 xx ... xx 0 1 Fastball 2 8 xx ... xx 0 1 Fastball 3 1 xx ... xx 1 78 1 Fastball 3 2 xx ... xx 0 1 Fastball 3 3 xx ... xx 1 74 1 Fastball 4 1 xx ... xx 0 1 Fastball 4 2 xx ... xx 1 69 1 Fastball 4 3 xx ... xx 1 72 1 Fastball 4 4 xx ... xx 1 65 1 Fastball 4 5 xx ... xx 0 1 Fastball 4 6 xx ... xx 0 1 Fastball 4 7 xx ... xx 0 1 Fastball 4 8 xx ... xx 1 74 1 Fastball 4 9 xx ... xx 1 78 1 Fastball 4 10 xx ... xx 1 76 1 Fastball 5 1 xx ... xx 0 1 Fastball 5 2 xx ... xx 1 53 1 Fastball 5 3 xx ... xx 0 1 Fastball 5 4 xx ... xx 1 51 1 Fastball 5 5 xx ... xx 0 1 Fastball 5 6 xx ... xx 1 55 . . . 40 Fastball 5 1 xx ... xx 0 40 Fastball 5 2 xx ... xx 0 40 Fastball 5 3 xx ... xx 1 60 40 Fastball 5 4 xx ... xx 0 40 Fastball 5 5 xx ... xx 0 -- Gregory E. Gilbert, EdD, MSPH, PStat® ASA Accredited Professional Statistician™ [[alternative HTML version deleted]]
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