foutliers
(Package: rainbow) :
Functional outlier detection methods.
Functional outlier detection methods.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: foutliers
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The singular value decomposition (SVD) plot of Zhang et al. (2007) captures the changes in the singular columns as the number of curves gradually increases.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: SVDplot
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fdepth
(Package: rainbow) :
Compute functional depth.
Compute functional depth.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: fdepth
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plot.fds
(Package: rainbow) :
Plot functional objects
Plot functional curves.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: lines.fds, plot.fds, points.fds
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fboxplot
(Package: rainbow) :
Functional bagplot and functional HDR boxplot
Compute bivariate bagplot, functional bagplot and bivariate HDR boxplot, functional HDR boxplot.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: fboxplot
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Display summary statistics (minimum, 1st quantile, median, mean, 3rd quantile, maximum) and quantiles of functional data
● Data Source:
CranContrib
● Keywords: methods
● Alias: summaryfunction
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This package presents the rainbow plots, bagplots and boxplots for functional data. The latter two can also be used to identify outliers, which have either the lowest depth or the lowest density.
● Data Source:
CranContrib
● Keywords: package
● Alias: rainbow, rainbow-package
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Plot functional depth.
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plot.fdepth
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fds
(Package: rainbow) :
Create functional objects
The function fds is used to create general functional objects that are not ordered by time. The function fts is used to create functional time series objects. The function sfts is used to create sliced functional time series objects, where the x variable is also a time variable.
● Data Source:
CranContrib
● Keywords: ts
● Alias: fds, fts, sfts
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providing 
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