knitr: A Comprehensive Tool for Reproducible Research in R

By Yihui Xie. Implementing Reproducible Research, 2018

398 citations recorded by the source corpus.

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How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset (2018, neutral): “2018), gdata (Warnes et al. 2017), ggplot2 (Wickham 2016; Wickham et al. 2018), knitr (Xie 2014, 2015, 2018), olsrr (Hebbali 2018), randomForest (Liaw and Wiener 2002; Breiman et al. 2018), readr (Wickham et al. 2017), relaimpo (Grömping 2007b, 2018), reshape2 (Wickham 2007, 2017), rmarkdown…”
Transparency, Reproducibility, and the Credibility of Economics Research (2018, positive): “The knitr package for R, incorporated into R Studio, makes this relatively easy to implement (Xie 2013; Xie 2014).”
Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study. (2019, neutral): “All analyses were carried out in R (R Core Team, 2015) and rendered in this manuscript using knitr (Xie, 2014) and xtable (Dahl, 2009).”
Predictability of monthly temperature and precipitation using automatic time series forecasting methods (2018, neutral): “…Chang 2017), ‘forecast’ (Hyndman et al. 2017), ‘fracdiff’ (Fraley et al. 2012), ‘gdata’ (Warnes et al. 2017), ‘ggplot2’ (Wickham 2016), ‘HKprocess’ (Tyralis 2016), ‘knitr’ (Xie 2014, 2015, 2017), ‘maps’ (Brownrigg et al. 2017), ‘prophet’ (Taylor and Letham 2017b) and ‘readr’ (Wickham et al. 2017).”