Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://rdcu.be/bHhJ4>.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0), magrittr, stats, utils |
| Imports: | boot, cowplot, dplyr, effsize, ellipsis, ggplot2 (≥ 3.2), forcats, ggforce, ggbeeswarm, plyr, RColorBrewer, rlang, simpleboot, stringr, tibble, tidyr |
| Suggests: | knitr, rmarkdown, tufte, testthat, vdiffr |
| Published: | 2020-07-13 |
| Author: | Joses W. Ho [cre, aut], Tayfun Tumkaya [aut] |
| Maintainer: | Joses W. Ho <joseshowh at gmail.com> |
| BugReports: | https://github.com/ACCLAB/dabestr/issues |
| License: | file LICENSE |
| URL: | https://github.com/ACCLAB/dabestr |
| NeedsCompilation: | no |
| Citation: | dabestr citation info |
| Materials: | README NEWS |
| CRAN checks: | dabestr results |
| Reference manual: | dabestr.pdf |
| Vignettes: |
Using dabestr |
| Package source: | dabestr_0.3.0.tar.gz |
| Windows binaries: | r-devel: dabestr_0.3.0.zip, r-release: dabestr_0.3.0.zip, r-oldrel: dabestr_0.3.0.zip |
| macOS binaries: | r-release: dabestr_0.3.0.tgz, r-oldrel: dabestr_0.3.0.tgz |
| Old sources: | dabestr archive |
| Reverse imports: | permubiome |
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