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The blue circles are the Eideticker time series, red points are the t-test score, and the green line is the median test score.  The Eideticker data is a good example of some of the smallest regressions that can be detected.  In this example, the median score threshold is set to 2 (p-value < 0.01), and the t-test score threshold is set to 4 (p-value < 0.0001).  First, the median test is used to detect (m-score > 2) three discontinuities: Two regressions and one improvement.  Second, all the high t-test scores (red) surrounding the detected regression are considered candidates, and the highest is of those is considered the beginning of the discontinuity.
The blue circles are the Eideticker time series, red points are the t-test score, and the green line is the median test score.  The Eideticker data is a good example of some of the smallest regressions that can be detected.  In this example, the median score threshold is set to 2 (p-value < 0.01), and the t-test score threshold is set to 4 (p-value < 0.0001).  First, the median test is used to detect (m-score > 2) three discontinuities: Two regressions and one improvement.  Second, all the high t-test scores (red) surrounding the detected regression are considered candidates, and the highest is of those is considered the beginning of the discontinuity.


====Future Plans====
====Future Plans====
Significant improvements can be made to the analysis:
Significant improvements can be made to the analysis:
# Piece-wise linear regression analysis (http://en.wikipedia.org/wiki/Segmented_regression)
# Piece-wise linear regression analysis (http://en.wikipedia.org/wiki/Segmented_regression)
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