Shiny SBM Report

In shinySbm: 'shiny' Application to Use the Stochastic Block Model

if (show_mat) {
  cat("## Introduction\nThis automatic report was produced by the [Shiny SBM](https://forgemia.inra.fr/theodore.vanrenterghem/shinySbm) application (also available via this [link](https://shiny.migale.inrae.fr/app/ShinySBM)). It is an application summary of a stochastic block model. The modeling part is based on the R package [sbm](https://CRAN.R-project.org/package=sbm).")

  imported_text <- knitr::knit_child("child_imported_en.Rmd", quiet = TRUE)
  cat(imported_text,'\n', sep = "\n")

  cat("## Matrix Visual")

  imported_vis <- knitr::knit_child("child_imported_visual.Rmd", quiet = TRUE)
  cat(imported_vis, sep = "\n")

  cat(ifelse(is_transposed, "Note that in this image, columns and rows are reversed.", ""))
}

if (show_sbm) {
  cat("## Results of the stochastic block model")

  sbm_text <- knitr::knit_child("child_sbm_en.Rmd", quiet = TRUE)
  cat(sbm_text,'\n', sep = "\n")

  cat("## SBM visualization")

  sbm_vis <- knitr::knit_child("child_sbm_visual.Rmd", quiet = TRUE)
  cat(sbm_vis, sep = "\n")

  cat(ifelse(is_transposed, "Note that in this image, columns and rows are reversed.", ""))
}

References

1. Chiquet J, Donnet S, Barbillon P (2023). sbm: Stochastic Blockmodels. R package version 0.4.5,
   https://CRAN.R-project.org/package=sbm.

2. Vanrenterghem T, Julie A (2023). ShinySBM: A shiny application for Stochastic Blockmodels. R package on gitlab,
   https://forgemia.inra.fr/theodore.vanrenterghem/shinySbm.

3. We are grateful to the INRAE MIGALE bioinformatics facility (MIGALE, INRAE, 2020. Migale bioinformatics Facility, doi: 10.15454/1.5572390655343293E12) for providing help and/or computing and/or storage resources.

shinySbm documentation built on Sept. 8, 2023, 5:06 p.m.