Description Usage Arguments Value References Examples
View source: R/OutlierLocalizationDistances.R
Compute the localization distances of order k of the curve y0
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1 | outlierLocalizationDistance(X, localrule = 0.9, whiskerrule = 3)
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X |
matrix p by n, being n the number of functions and p the number of grid points. |
localrule |
Local distance rule: the method marks a curve as outlier if its k order localization distances are outliers in more than local_rulex100 percent of the k-order univariate boxplots. Default is 0.90 so a function must be at least an outlier in 90 percent of the k-order localization distances. |
whiskerrule |
Parameter for the whiskers of the univariate boxplot of the localization distances of order kth. Default value is 3. |
A list
Elías, Antonio, Jiménez, Raúl and Yukich, Joe (2020). Localization processes for functional data analysis (submitted).
1 2 | outliers <- outlierLocalizationDistance(outlierData, localrule = 0.9, whiskerrule = 3)
outliers$outliers_ld_rule
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