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 |
| 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 |