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™

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