Interactive Plotting for Functional Data Analyses

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Documentation for package ‘refund.shiny’ version 1.0

• DESCRIPTION file.

Help Pages

as_refundObj	Convert data to refund objects for use in functional data analyses
as_refundObj.matrix	Convert matrices to dataframes for use in functional data analyses
bakeLasagna	Create side-by-side lasagna plot and density plot
combinat	internal function from 'fda' package
createInputCall	Create input calls for plot_shiny.fosr()
createInvLink	Return inverse link function for plot_shiny.fpca()
downloadModule	download Plot as PDF or ggplot Object, modularized server
downloadModuleUI	download Plot as PDF or ggplot Object, modularized UI
fMBD	fast modified band depth calculation for fda Method for fast modified band depth (fMBD) calculation
getWidth	Get spaces between timepoints as widths for binary registration lasagna plot.
makeLasagna	Pre-process data for lasagna plot
make_linCom	Create lincom plot for FPCA panels
make_muPC	Create muPC plot for FPCA panels
mfpcaCalls	Create input calls for plot_shiny.mfpca()
outliers	Identifies outliers for plot_shiny.fosr()
plot_shiny	plot_shiny The generic function for interactive plots of functional data analyses
plot_shiny.flcm	Interactive Plotting for Functional Linear Concurrent regression
plot_shiny.fosr	Interactive Plotting for Functional-on-Scalar Regressions
plot_shiny.fpca	Interactive Plotting for Functional Principal Component Analysis
plot_shiny.lfpca	Interactive Plotting for Longtiudinal Functional Data Analysis using FPCA
plot_shiny.mfpca	Interactive Plotting for Multilevel Functional Principal Component Analysis
plot_shiny.registration	Interactive Plotting for Registration Objects
registerLasagna	Create lasagna plot for unregistered and registered data
savePDF	Save Plot Object as PDF
savePlot	Save Plot Object as .RData file
tabPanelModule	download Plot as PDF or ggplot Object, modularized server
tabPanelModuleUI	modularized UI for creating a new tab
thin_functional_data	Thin functional data
varPercent	Calculate percent variance of eigenvalues for plot_shiny.mfpca()