dplyr

R package dplyr: A Grammar of Data Manipulation. A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

Keywords for this software

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References in zbMATH (referenced in 47 articles )

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  1. Eduard Szöcs, Tamás Stirling, Eric R. Scott, Andreas Scharmüller, Ralf B. Schäfer: webchem: An R Package to Retrieve Chemical Information from the Web (2020) not zbMATH
  2. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  3. Jouni Helske: Efficient Bayesian generalized linear models with time-varying coefficients: The walker package in R (2020) arXiv
  4. Rachael C. Aikens, Joseph Rigdon, Justin Lee, Michael Baiocchi, Jonathan Chen: Stratified Pilot Matching in R: The stratamatch Package (2020) arXiv
  5. Tian-Yuan Huang; Bin Zhao: tidyfst: Tidy Verbs for Fast Data Manipulation (2020) not zbMATH
  6. Zehang Richard Li, Bryan D Martin, Tracy Qi Dong, Geir-Arne Fuglstad, John Paige, Andrea Riebler, Samuel Clark, Jon Wakefield: Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER (2020) arXiv
  7. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  8. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  9. Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke: rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database (2019) arXiv
  10. Iñaki Ucar; Bart Smeets; Arturo Azcorra: simmer: Discrete-Event Simulation for R (2019) not zbMATH
  11. Ismay, Chester; Kim, Albert Y.: Statistical inference via data science. A moderndive into R and the tidyverse (2019)
  12. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH
  13. McNamara, Amelia A.: Community engagement and subgroup meta-knowledge: some factors in the soul of a community (2019)
  14. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  15. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  16. Tanaka, Emi; Hui, Francis K. C.: Symbolic formulae for linear mixed models (2019)
  17. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  18. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  19. Hannes Mühleisen; Alexander Bertram; Maarten-Jan Kallen: Database-Inspired Optimizations for Statistical Analysis (2018) not zbMATH
  20. Iñaki Ucar, José Alberto Hernández, Pablo Serrano, Arturo Azcorra: Design and Analysis of 5G Scenarios with simmer: An R Package for Fast DES Prototyping (2018) arXiv

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