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`refund.shiny`

Interactive plots of functional data analyses.

The primary function is plot.shiny, which calls other functions depending on the class of the object. The supported classes are "fpca" for functional principal components analyses, "mfpca" for multilevel fpca, "lfpca" for longitudinal fpca, and "fosr" for function on scalar regression.

Installation

To install the latest version directly from Github, please use:

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Version

Install

install.packages('refund.shiny')

Monthly Downloads

235

Version

0.2.0

License

GPL (>= 2)

Maintainer

Julia Wrobel

Last Published

February 1st, 2016

Functions in refund.shiny (0.2.0)

Identifies outliers for plot_shiny.fosr()

Calculate percent variance of eigenvalues for plot_shiny.mfpca()

plot_shiny.lfpca

Interactive Plotting for Longtiudinal Functional Data Analysis using FPCA

Save Plot Object as PDF

internal function from 'fda' package

plot_shiny.mfpca

Interactive Plotting for Multilevel Functional Principal Component Analysis

Create input calls for plot_shiny.mfpca()

plot_shiny.fosr

Interactive Plotting for Functional-on-Scalar Regressions

createInputCall

Create input calls for plot_shiny.fosr()

plot_shiny.fpca

Interactive Plotting for Functional Principal Component Analysis

plot_shiny The generic function for interactive plots of functional data analyses

Save Plot Object as .RData file

fast modified band depth calculation for fda