Interactive Plotting for Functional Data Analyses
Convert matrices to dataframes for use in functional data analyses
Convert data to refund objects for use in functional data analyses
Create side-by-side lasagna plot and density plot
internal function from 'fda' package
Create input calls for plot_shiny.fosr()
Return inverse link function for plot_shiny.fpca()
download Plot as PDF or ggplot Object, modularized server
download Plot as PDF or ggplot Object, modularized UI
fast modified band depth calculation for fdaMethod for fast modified b...
Get spaces between timepoints as widths for binary registration lasagn...
Create lincom plot for FPCA panels
Create muPC plot for FPCA panels
Pre-process data for lasagna plot
Create input calls for plot_shiny.mfpca()
Identifies outliers for plot_shiny.fosr()
Interactive Plotting for Functional Linear Concurrent regression
Interactive Plotting for Functional-on-Scalar Regressions
Interactive Plotting for Functional Principal Component Analysis
Interactive Plotting for Longtiudinal Functional Data Analysis using F...
Interactive Plotting for Multilevel Functional Principal Component Ana...
plot_shiny The generic function for interactive plots of functional da...
Interactive Plotting for Registration Objects
Create lasagna plot for unregistered and registered data
Save Plot Object as PDF
Save Plot Object as .RData file
download Plot as PDF or ggplot Object, modularized server
modularized UI for creating a new tab
Thin functional data
Calculate percent variance of eigenvalues for plot_shiny.mfpca()
Produces Shiny applications for different types of popular functional data analyses. The functional data analyses are implemented in the refund package, then refund.shiny reads in the refund object and implements an object-specific set of plots based on the object class using S3.