1. Description of the package | 2. Hypothetical example dataset | 3. Visualize patterns generated by rosario() function | 4. Assemblage-wide overlap | 5. Null Model Test | 6. Visualizing the null distribution | 7. Conclusion
Package: rosario 0.1.1
Tatiana Velásquez-Roa
rosario: A Null Model Algorithm to Analyze Cyclical Data in Ecology
Implements a null model analysis to quantify concurrent temporal niche overlap (i.e., activity or phenology) among biological identities (e.g., individuals, populations, species) using the Rosario randomization algorithm (Castro-Arellano et al. 2010) <doi:10.1111/j.2041-210X.2010.00031.x>.
Authors:
rosario_0.1.1.tar.gz
rosario_0.1.1.zip(r-4.7-any)rosario_0.1.1.zip(r-4.6-any)rosario_0.1.1.zip(r-4.5-any)
rosario_0.1.1.tgz(r-4.6-any)rosario_0.1.1.tgz(r-4.5-any)
rosario_0.1.1.tar.gz(r-4.7-any)rosario_0.1.1.tar.gz(r-4.6-any)
rosario_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rosario/json (API)
| # Install 'rosario' in R: |
| install.packages('rosario', repos = c('https://alrobles.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alrobles/rosario/issues
Pkgdown/docs site:https://alrobles.github.io
Datasets:
- ex1 - Example temporal activity dataset
Last updated from:142ab28241. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 211 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 104 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 129 |
Exports:%>%czekanowski_indexget_null_modelpianka_indexplot_rosariorescale_matrixrosariorosario_sampletemp_overlaptemp_overlap_dftemp_overlap_matrixtemp_overlap_plotvec_permutation
Dependencies:backportsbroomclicodetoolscpp11digestdplyrfurrrfuturegenericsglobalsgluelifecyclelistenvmagrittrparallellypillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Introduction to rosario
Last update: 2026-02-21
Started: 2026-02-21
Real-world example
1. Overview | 2. Data Loading | 3. Organizing detections into time bins | 3.1. Helper function to bin detections for one species | 3.2. Create binned rows for each cervid species | 3.3. Combine species rows into the rosario input matrix | 3.4. Optional: rescale counts to proportions | 4. Running rosario on the real-world dataset | 4.1. Create cyclic shifts and mirror images | 4.2. Visualize patterns generated by rosario() function | 4.3. Assemblage-wide temporal overlap | 4.4. Null Model Test | 4.5. Visualizing the null distribution | 5. Conclusion
Last update: 2026-02-21
Started: 2026-02-21
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Czekanowski overlap index | czekanowski_index |
| Example temporal activity dataset | ex1 |
| Null-model test via ROSARIO algorithm randomization | get_null_model |
| Pianka's niche-overlap index | pianka_index |
| Diagram of ROSARIO null-model randomizations | plot_rosario |
| Row-wise rescaling of a matrix to relative frequencies | rescale_matrix |
| Generate cyclic and mirrored permutations of a time series | rosario |
| ROSARIO randomization of an assemblage matrix | rosario_sample |
| Assemblage-wide temporal niche segregation | temp_overlap |
| Convert a square overlap matrix to a tidy pairwise data frame | temp_overlap_df |
| Pairwise temporal niche-overlap matrix | temp_overlap_matrix |
| Plot null-model results for temporal niche overlap | temp_overlap_plot |
| Cyclic permutation (rotate) a numeric vector | vec_permutation |