rmarkdown
R package rmarkdown: Dynamic Documents for R. Convert R Markdown documents into a variety of formats.
Keywords for this software
References in zbMATH (referenced in 20 articles )
Showing results 1 to 20 of 20.
Sorted by year (- H. Sherry Zhang, Dianne Cook, Ursula Laa, Nicolas Langrené, Patricia Menéndez: Wrangling multivariate spatio-temporal data with the R package cubble (2022) arXiv
- Adrian Richter; Carsten Oliver Schmidt; Markus Krüger; Stephan Struckmann: dataquieR: assessment of data quality in epidemiological research (2021) not zbMATH
- Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke, Mikkel L. Sørensen, Julian Lemos-Vinasco, Jon Liisberg, Jan Kloppenborg Møller, Henrik Aalborg Nielsen, Henrik Madsen: onlineforecast: An R package for adaptive and recursive forecasting (2021) arXiv
- Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
- Chambaz, Antoine; Benkeser, David: A ride in targeted learning territory (2020)
- Cousineau, Denis: How many decimals? Rounding descriptive and inferential statistics based on measurement precision (2020)
- Haim Bar, HaiYing Wang: Reproducible Science with LaTeX (2020) arXiv
- Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
- Laa, Ursula; Cook, Dianne: Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics (2020)
- Sayani Gupta, Rob J Hyndman, Dianne Cook, Antony Unwin: Visualizing probability distributions across bivariate cyclic temporal granularities (2020) arXiv
- Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
- Becker, Gabriel; Moore, Sara E.; Lawrence, Michael: trackr: a framework for enhancing discoverability and reproducibility of data visualizations and other artifacts in R (2019)
- David Miller and Eric Rexstad and Len Thomas and Laura Marshall and Jeffrey Laake: Distance Sampling in R (2019) not zbMATH
- Coeurjolly, Jean-Francois; Porcu, Emilio: Fast and exact simulation of complex-valued stationary Gaussian processes through embedding circulant matrix (2018)
- Martijn Tennekes: tmap: Thematic Maps in R (2018) not zbMATH
- Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
- Templ, Matthias: Statistical disclosure control for microdata. Methods and applications in R (2017)
- Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
- Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
- Gandrud, Christopher: Reproducible research with R and RStudio (2014)