Package: hotspots 1.0.3
hotspots: Hot Spots
The hotspots package is designed to look within a set of measured values of a variable and identify values that are disproportionately high based on both the deviance of any given value from a statistical distribution and its similarity to other values. Because this relative magnitude of each value is taken into account, a value that is a statistical outlier may not always be a hot spot if other values are similarly large.
Authors:
hotspots_1.0.3.tar.gz
hotspots_1.0.3.zip(r-4.5)hotspots_1.0.3.zip(r-4.4)hotspots_1.0.3.zip(r-4.3)
hotspots_1.0.3.tgz(r-4.4-any)hotspots_1.0.3.tgz(r-4.3-any)
hotspots_1.0.3.tar.gz(r-4.5-noble)hotspots_1.0.3.tar.gz(r-4.4-noble)
hotspots_1.0.3.tgz(r-4.4-emscripten)hotspots_1.0.3.tgz(r-4.3-emscripten)
hotspots.pdf |hotspots.html✨
hotspots/json (API)
| # Install 'hotspots' in R: |
| install.packages('hotspots', repos = c('https://anthonydn.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:0035109de6. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-win | NOTE | Oct 26 2024 |
| R-4.5-linux | NOTE | Oct 26 2024 |
| R-4.4-win | OK | Oct 26 2024 |
| R-4.4-mac | OK | Oct 26 2024 |
| R-4.3-win | OK | Oct 26 2024 |
| R-4.3-mac | OK | Oct 26 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Disproportionality | disprop |
| Hot spots and outliers | hotspots-package hotspots outliers print.hotspots |
| Lorenz curve with hot spot cutoff | Lchs |
| Plotting hot spot and outlier cutoffs | plot.hotspots |
| Summarizing hot spot and outlier cutoffs | print.summary.hotspots summary.hotspots |
