Wrap-around Time Series (WATS) plots for interrupted time series designs with seasonal patterns. Longitudinal trajectories are shown in both Cartesian and polar coordinates. In many scenarios, a WATS plot more clearly shows the existence and effect size of of an intervention. This package accompanies "Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs" by Rodgers, Beasley, & Schuelke (2014) <doi:10.1080/00273171.2014.946589>; see 'citation("Wats")' for details.
Version: 1.0.1 Depends: R (≥ 4.2.0) Imports: colorspace, dplyr, ggplot2, grid, lubridate, RColorBrewer, rlang, testit, tibble, zoo Suggests: boot, covr, devtools, knitr, scales, testthat Published: 2023-03-10 DOI: 10.32614/CRAN.package.Wats Author: Will Beasley [aut, cre, cph], Joe Rodgers [aut], Matthew Schuelke [ctb], Ronnie Coleman [ctb], Mark Joseph Lachowicz [ctb], Oklahoma Shared Clinical and Translational Resource (OSCTR) [fnd] Maintainer: Will Beasley <wibeasley at hotmail.com> BugReports: https://github.com/OuhscBbmc/Wats/issues License: MIT + file LICENSE URL: https://ouhscbbmc.github.io/Wats/, https://github.com/OuhscBbmc/Wats NeedsCompilation: no Language: en-US Citation: Wats citation info Materials: README, NEWS CRAN checks: Wats results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Wats to link to this page.
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