Package: refund.shiny 1.0

Julia Wrobel

refund.shiny: Interactive Plotting for Functional Data Analyses

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.

Authors:Julia Wrobel [aut, cre], Jeff Goldsmith [aut]

refund.shiny_1.0.tar.gz
refund.shiny_1.0.zip(r-4.5)refund.shiny_1.0.zip(r-4.4)refund.shiny_1.0.zip(r-4.3)
refund.shiny_1.0.tgz(r-4.4-any)refund.shiny_1.0.tgz(r-4.3-any)
refund.shiny_1.0.tar.gz(r-4.5-noble)refund.shiny_1.0.tar.gz(r-4.4-noble)
refund.shiny_1.0.tgz(r-4.4-emscripten)refund.shiny_1.0.tgz(r-4.3-emscripten)
refund.shiny.pdf |refund.shiny.html✨
refund.shiny/json (API)
NEWS

# Install 'refund.shiny' in R:

install.packages('refund.shiny', repos = c('https://refunders.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/refunders/refund.shiny/issues

On CRAN:

4.88 score 4 stars 42 scripts 278 downloads 3 mentions 2 exports 110 dependencies

Last updated 9 months agofrom:24a0f484e9. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 12 2024
R-4.5-win	NOTE	Oct 12 2024
R-4.5-linux	NOTE	Oct 12 2024
R-4.4-win	OK	Oct 12 2024
R-4.4-mac	OK	Oct 12 2024
R-4.3-win	OK	Oct 12 2024
R-4.3-mac	OK	Oct 12 2024

Exports:as_refundObj plot_shiny

Dependencies:abind ash askpass base64enc bitops boot bslib cachem cli cluster colorspace commonmark cpp11 crayon crosstalk curl data.table deSolve digest dplyr evaluate fansi farver fastmap fda fds FNN fontawesome fs gamm4 generics ggplot2 glue gridExtra grpreg gtable hdrcde highr htmltools htmlwidgets httpuv httr isoband jquerylib jsonlite kernlab KernSmooth knitr ks labeling later lattice lazyeval lifecycle lme4 locfit magic magrittr MASS Matrix mclust memoise mgcv mime minqa multicool munsell mvtnorm nlme nloptr openssl pbs pcaPP pillar pkgconfig plotly plyr pracma promises purrr R6 rainbow rappdirs RColorBrewer Rcpp RcppEigen RCurl refund reshape2 rlang RLRsim rmarkdown sass scales shiny sourcetools stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun xtable yaml

Citation

Development and contributors

Readme and manuals

Help Manual

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