Data Smoothing
SigmaPlot provides six different data smoothing algorithms that should satisfy most smoothing needs - negative exponential, loess, running average, running median, bisquare, inverse square and inverse distance. Each
smoother contains options that make them very flexible. For example, unequally spaced data that occurs in clumps is better analyzed using the nearest neighbor rather than a fixed bandwidth method. Also, outlier
rejection is available in some smoothers.
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