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shinycsv

Lifecycle: stable Codecov test coverage R build status GitHub issues GitHub pulls DOI

This package allows interactive explorations of CSV files, data.frame objects stored in a Rdata file (only one data.frame stored), or other types of table files. You can view this shiny app deployed at libd.shinyapps.io/shinycsv. If you are interested in the showcase mode, then check out libd.shinyapps.io/shinycsv-showcase.

The vignette for this package is available at LieberInstitute/shinycsv.

Installation instructions

Get the latest stable R release from CRAN. Then install shinycsv from GitHub with:

BiocManager::install("LieberInstitute/shinycsv")

Citation

Below is the citation output from using citation('shinycsv') in R. Please run this yourself to check for any updates on how to cite shinycsv.

print(citation("shinycsv"), bibtex = TRUE)
#> To cite package 'shinycsv' in publications use:
#> 
#>   Collado-Torres L, Semick S, Jaffe AE (2020). _shinycsv: Explore a
#>   table interactively in a shiny application_. R package version
#>   0.99.9, <https://github.com/LieberInstitute/shinycsv>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {shinycsv: Explore a table interactively in a shiny application},
#>     author = {Leonardo Collado-Torres and Stephen Semick and Andrew E. Jaffe},
#>     year = {2020},
#>     note = {R package version 0.99.9},
#>     url = {https://github.com/LieberInstitute/shinycsv},
#>   }

Please note that the shinycsv was only made possible thanks to many other R and bioinformatics software authors, which are cited either in the vignettes and/or the paper(s) describing this package.

Code of Conduct

Please note that the shinycsv project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Development tools

For more details, check the dev directory.

This package was developed using biocthis.