Package: opticskxi 1.1.0
opticskxi: OPTICS K-Xi Density-Based Clustering
Provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters.
Authors:
opticskxi_1.1.0.tar.gz
opticskxi_1.1.0.zip(r-4.5)opticskxi_1.1.0.zip(r-4.4)opticskxi_1.1.0.zip(r-4.3)
opticskxi_1.1.0.tgz(r-4.4-any)opticskxi_1.1.0.tgz(r-4.3-any)
opticskxi_1.1.0.tar.gz(r-4.5-noble)opticskxi_1.1.0.tar.gz(r-4.4-noble)
opticskxi_1.1.0.tgz(r-4.4-emscripten)opticskxi_1.1.0.tgz(r-4.3-emscripten)
opticskxi.pdf |opticskxi.html✨
opticskxi/json (API)
| # Install 'opticskxi' in R: |
| install.packages('opticskxi', repos = c('https://thomaschln.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/thomaschln/opticskxi
- crohn - Crohn's disease data
- hla - The HLA data
- m_psychwords - A dataset containing words by embeddings matrix
- multishapes - A dataset containing clusters of multiple shapes
Last updated 5 months agofrom:f9e498f816. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | NOTE | Nov 23 2024 |
| R-4.4-mac | NOTE | Nov 23 2024 |
| R-4.3-win | NOTE | Nov 23 2024 |
| R-4.3-mac | NOTE | Nov 23 2024 |
Exports:%<>%%>%%$%contingency_tablefortify_dimredfortify_icafortify_pcaget_best_kxiggpairsggplot_kxi_metricsggplot_opticsgtable_kxi_profilesnice_paletteopticskxiopticskxi_pipelineprint_tableresiduals_table
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Magrittr pipe-assign operator | %<>% |
| Magrittr pipe operator | %>% |
| Magrittr pipe-with operator | %$% |
| Contingency table | contingency_table |
| Crohn's disease data | crohn |
| Fortify a dimension reduction object | fortify_dimred |
| Get and fortify ICA | fortify_ica |
| Get and fortify PCA | fortify_pca |
| Get best k-Xi model | get_best_kxi |
| Plot multiple axes of a data frame or a fortified dimension reduction. | ggpairs |
| Ggplot OPTICS k-Xi metrics | ggplot_kxi_metrics |
| Ggplot optics | ggplot_optics |
| Gtable OPTICS k-Xi distance profiles | gtable_kxi_profiles |
| The HLA data | hla |
| A dataset containing words by embeddings matrix | m_psychwords |
| A dataset containing clusters of multiple shapes | multishapes |
| Nice palette | nice_palette |
| OPTICS k-Xi clustering algorithm | opticskxi |
| OPTICS k-Xi models comparison pipeline | opticskxi_pipeline |
| Print table | print_table |
| Residuals table | residuals_table |
