Package: nna 0.0.2.1
nna: Nearest-Neighbor Analysis
Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures "x" and "y". "x" - Distance from the random point to the nearest individual. "y" - Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species' distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).
Authors:
nna_0.0.2.1.tar.gz
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nna_0.0.2.1.tgz(r-4.4-any)nna_0.0.2.1.tgz(r-4.3-any)
nna_0.0.2.1.tar.gz(r-4.5-noble)nna_0.0.2.1.tar.gz(r-4.4-noble)
nna_0.0.2.1.tgz(r-4.4-emscripten)nna_0.0.2.1.tgz(r-4.3-emscripten)
nna.pdf |nna.html✨
nna/json (API)
| # Install 'nna' in R: |
| install.packages('nna', repos = c('https://cristiano-pereira.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 7 years agofrom:7f493d878d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:nna
Dependencies:
