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Package Bio :: Package Statistics :: Module lowess |
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This module implements the Lowess function for nonparametric regression.
Functions: lowess Fit a smooth nonparametric regression curve to a scatterplot.
For more information, see William S. Cleveland: "Robust locally weighted regression and smoothing scatterplots", Journal of the American Statistical Association, December 1979, volume 74, number 368, pp. 829-836.Function Summary | |
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lowess(x, y, f=2./3., iter=3) -> yest |
Function Details |
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lowess(x, y, f=0.66666666666666663, iter=3)lowess(x, y, f=2./3., iter=3) -> yest Lowess smoother: Robust locally weighted regression. The lowess function fits a nonparametric regression curve to a scatterplot. The arrays x and y contain an equal number of elements; each pair (x[i], y[i]) defines a data point in the scatterplot. The function returns the estimated (smooth) values of y. The smoothing span is given by f. A larger value for f will result in a smoother curve. The number of robustifying iterations is given by iter. The function will run faster with a smaller number of iterations. |
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