ajpelu

ajpelu's Stars

• grantmcdermott/quarto-revealjs-clean

  A minimalist and elegant presentation theme for Quarto Reveal.js

  Language:SCSS24544

• Pakillo/rmdTemplates

  Rmarkdown templates for reproducible science

  Language:TeX12823

• juba/rmdformats

  HTML output formats for RMarkdown documents

  Language:CSS724140

• ropensci/dataspice

  :hot_pepper: Create lightweight schema.org descriptions of your datasets

  Language:R15926

• rstudio-conf-2020/shiny-start-finish

  Language:HTML4734

• ropensci/dev_guide

  rOpenSci Packages: Development, Maintenance, and Peer Review

  Language:R16058

• RebeccaStubbs/MapSuite

  An R package for making layered maps over time or other dimensions.

  Language:R72

• GerkeLab/shinyDAG

  a Shiny app to create/visualize/analyze causal diagrams (DAGs)

  Language:R5316

• crsh/citr

  RStudio Addin to Insert Markdown Citations

  Language:R40846

• NCEAS/eml

  Ecological Metadata Language (EML)

  Language:HTML4215

• ropensci-archive/emldown

  :no_entry: ARCHIVED :no_entry: Create beautiful visualizations of an EML document

  Language:XSLT254

• odeleongt/flexdashboard-poster

  Minimal template for a flexdashboard poster

  Language:HTML11113

• oslugr/sitio9jr

  Sitio de las IX Jornadas de Usuarios de R

  Language:CSS42

• ropensci/rrrpkg

  Use of an R package to facilitate reproducible research

  25624

• ssayols/GPSskyrunners

  visualize GPX tracks on a shiny app

  Language:R61

• jarvisc1/Geostat2016

  Geostat Summer School 2016 Prediction and Visualisation Competition

  Language:R1

• Robinlovelace/Creating-maps-in-R

  Introductory tutorial on graphical display of geographical information in R.

  Language:TeX568339

• ropensci-archive/rgeospatialquality

  :no_entry: ARCHIVED :no_entry: Wrapper for the Geospatial Data Quality REST API

  Language:R61

• ypriverol/github-paper

  Plos in Computational Biology paper related with github for researchers, code, source and document

  Language:Jupyter Notebook5820

• ecoinfAEET/Reproducibilidad

  Reproducible Science: what, why, how

  Language:RMarkdown4211