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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) |