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Introdução ao dplyr published at the "Open Code Community"
- data.mendeley.com
Updated Aug 26, 2021
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EmailClick to copy linkLink copiedCiteFelipe Queiroz (2021). Introdução ao dplyr published at the "Open Code Community" [Dataset]. http://doi.org/10.17632/wpgpcfxxbs.1Unique identifierhttps://doi.org/10.17632/wpgpcfxxbs.1Dataset updatedAug 26, 2021AuthorsFelipe QueirozLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionMaterial published at "https://opencodecom.net/post/2021-07-26-introducao-ao-dplyr/"
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This file contains the R code to produce the simulations used in this study....
- plos.figshare.com
txtUpdated Jun 1, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteJacob Anhøj (2023). This file contains the R code to produce the simulations used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0121349.s001txtAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0121349.s001Dataset updatedJun 1, 2023Dataset provided byPLOS ONEAuthorsJacob AnhøjLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThe code will run on an installation of R with the add on packages lattice, dplyr, lattice, and latticeExtra. The output is a graph (Fig. 2) and a table showing likelihood ratios of run chart rules for identification of non-random variation in simulated run charts of different length with or without a shift in process mean. (R)
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FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Material published at "https://opencodecom.net/post/2021-07-26-introducao-ao-dplyr/"