rmarkdown

R package rmarkdown: Dynamic Documents for R. Convert R Markdown documents into a variety of formats.

Keywords for this software

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References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
Sorted by year (citations)

  1. Chambaz, Antoine; Benkeser, David: A ride in targeted learning territory (2020)
  2. Cousineau, Denis: How many decimals? Rounding descriptive and inferential statistics based on measurement precision (2020)
  3. Haim Bar, HaiYing Wang: Reproducible Science with LaTeX (2020) arXiv
  4. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  5. Laa, Ursula; Cook, Dianne: Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics (2020)
  6. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  7. David Miller and Eric Rexstad and Len Thomas and Laura Marshall and Jeffrey Laake: Distance Sampling in R (2019) not zbMATH
  8. Martijn Tennekes: tmap: Thematic Maps in R (2018) not zbMATH
  9. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  10. Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
  11. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  12. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  13. Gandrud, Christopher: Reproducible research with R and RStudio (2014)