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 42 articles )

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  1. Irizarry, Rafael A.: Introduction to data science. Data analysis and prediction algorithms with R (2020)
  2. Rachael C. Aikens, Joseph Rigdon, Justin Lee, Michael Baiocchi, Jonathan Chen: Stratified Pilot Matching in R: The stratamatch Package (2020) arXiv
  3. Andrew M. Raim, Scott H. Holan, Jonathan R. Bradley, Christopher K. Wikle: An R Package for Spatio-Temporal Change of Support (2019) arXiv
  4. Anne Petersen; Claus Ekstrøm: dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R (2019) not zbMATH
  5. 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
  6. Iñaki Ucar; Bart Smeets; Arturo Azcorra: simmer: Discrete-Event Simulation for R (2019) not zbMATH
  7. Ismay, Chester; Kim, Albert Y.: Statistical inference via data science. A moderndive into R and the tidyverse (2019)
  8. Lindsay Rutter, Susan VanderPlas, Dianne Cook, Michelle A. Graham: ggenealogy: An R Package for Visualizing Genealogical Data (2019) not zbMATH
  9. McNamara, Amelia A.: Community engagement and subgroup meta-knowledge: some factors in the soul of a community (2019)
  10. Ramasubramanian, Karthik; Singh, Abhishek: Machine learning using R. With time series and industry-based use cases in R (2019)
  11. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  12. Tarak Kharrat; Georgi Boshnakov; Ian McHale; Rose Baker: Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package (2019) not zbMATH
  13. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  14. Hannes Mühleisen; Alexander Bertram; Maarten-Jan Kallen: Database-Inspired Optimizations for Statistical Analysis (2018) not zbMATH
  15. 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
  16. Joshua M. Rosenberg; Patrick N. Beymer; Daniel J. Anderson; Jennifer A. Schmidt: tidyLPA: An R Package to Easily Carry Out LatentProfile Analysis (LPA) Using Open-Source orCommercial Software (2018) not zbMATH
  17. M. Benjamin Sabath, Qian Di, Danielle Braun, Francesca Dominici, Christine Choirat: aipred: A Flexible R Package Implementing Methods for Predicting Air Pollution (2018) arXiv
  18. Natalia da Silva, Eun-Kyung Lee, Di Cook: A Projection Pursuit Forest Algorithm for Supervised Classification (2018) arXiv
  19. Stübinger, Johannes; Endres, Sylvia: Pairs trading with a mean-reverting jump-diffusion model on high-frequency data (2018)
  20. Stübinger, Johannes; Mangold, Benedikt; Krauss, Christopher: Statistical arbitrage with vine copulas (2018)

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