localizationStatistics {localFDA} | R Documentation |
Localization Distances Statistics
Description
Estimate the mean and standard deviation of the localization distances mean.
Usage
localizationStatistics(y, robustify = TRUE, whiskerrule)
Arguments
y |
matrix p by n, being n the number of functions and p the number of grid points. |
robustify |
if TRUE the mean and standard deviation are estimated with a the trimmed sample. Default is TRUE. |
whiskerrule |
Range parameter for the univariate boxplot detection rule. Default = 3. |
Value
a list with the localization distances of each function (localizationDistances), the estimated mean (mean) and standard deviation (sd).
References
Elías, Antonio, Jiménez, Raúl and Yukich, Joe (2020). Localization processes for functional data analysis (submitted).
Examples
localizationStatistics_full <- localizationStatistics(exampleData[,1:101], robustify = TRUE)
localizationStatistics_full$trim_mean[c(1, 25, 50 ,75, 100)]
localizationStatistics_full$trim_sd[c(1, 25, 50 ,75, 100)]
[Package localFDA version 1.0.0 Index]