Make graphical representations of single case data and transform graphical displays back to raw data, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package also includes tools for visually analyzing single-case data, by displaying central location, variability and trend.
Version: 1.3.1 Imports: ggExtra, ggplot2, graphics, plotly, scales, stats, utils Published: 2020-01-09 DOI: 10.32614/CRAN.package.SCVA Author: Isis Bulte, Tamal Kumar De, Patrick Onghena Maintainer: Tamal Kumar De <tamalkumar.de at kuleuven.be> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no CRAN checks: SCVA results Documentation: Reference manual: SCVA.pdf Downloads: Package source: SCVA_1.3.1.tar.gz Windows binaries: r-devel: SCVA_1.3.1.zip, r-release: SCVA_1.3.1.zip, r-oldrel: SCVA_1.3.1.zip macOS binaries: r-release (arm64): SCVA_1.3.1.tgz, r-oldrel (arm64): SCVA_1.3.1.tgz, r-release (x86_64): SCVA_1.3.1.tgz, r-oldrel (x86_64): SCVA_1.3.1.tgz Old sources: SCVA archive Linking:Please use the canonical form https://CRAN.R-project.org/package=SCVA to link to this page.
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