References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Dewey W. Dunnington, Nell Libera, Joshua Kurek, Ian S. Spooner, Graham A. Gagnon: tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2 (2022) not zbMATH
  2. Speegle, Darrin; Clair, Bryan: Probability, statistics, and data. A fresh approach using R (2022)
  3. Barneche DR, Coleman G, Fermor D, Klein E, Robinson T, Smith J, Sheehan JL, Dowley S, Ditton D, Gunn K, Ericson G, Logan M, Rehbein M : dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform (2021) not zbMATH
  4. Christian Thiele; Gerrit Hirschfeld: cutpointr: Improved Estimation and Validation of Optimal Cutpoints in R (2021) not zbMATH
  5. Radojičić, Una; Nordhausen, Klaus; Virta, Joni: Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit (2021)
  6. Sam Parsons: splithalf: robust estimates of split half reliability (2021) not zbMATH
  7. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  8. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  9. Matthias Speidel, Jörg Drechsler, Shahab Jolani: The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond (2020) not zbMATH
  10. Michael David Wilson; Luke Strickland; Timothy Ballard: FIPS: An R Package for Biomathematical Modelling of Human Fatigue Related Impairment (2020) not zbMATH
  11. Tian-Yuan Huang; Bin Zhao: tidyfst: Tidy Verbs for Fast Data Manipulation (2020) not zbMATH
  12. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  13. Roman Luštrik; Žan Kuralt: wolfexplorer: a tool for visualization and exploration of complex multi-year multi-specimen datasets (2018) not zbMATH
  14. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  15. Benjamin R. Fitzpatrick, Kerrie Mengersen: A network flow approach to visualising the roles of covariates in random forests (2017) arXiv
  16. Peter E. DeWitt, Samantha MaWhinney, Nichole E. Carlson: cpr: An R Package For Finding Parsimonious B-Spline Regression Models via Control Polygon Reduction and Control Net Reduction (2017) arXiv
  17. Neeraj Bokde, Kishore Kulat, Marcus W Beck, Gualberto Asencio-Cortes: R package imputeTestbench to compare imputations methods for univariate time series (2016) arXiv
  18. David Robinson: broom: An R Package for Converting Statistical Analysis Objects Into Tidy Data Frames (2014) arXiv
  19. Gandrud, Christopher: Reproducible research with R and RStudio (2014)