R: Interactive Plotting for Functional Data Analyses

# Interactive Plotting for Functional Data Analyses

## Documentation for package ‘refund.shiny’ version 1.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## 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()