Package: RAPTOR 1.0.1
RAPTOR: Row and Position Tracheid Organizer
Performs wood cell anatomical data analyses on spatially explicit xylem (tracheids) datasets derived from thin sections of woody tissue. The package includes functions for visualisation, detection and alignment of continuous tracheid radial file (defined as rows) and individual tracheid position within an annual ring of coniferous species. This package is designed to be used with elaborate cell output, e.g. as provided with ROXAS (von Arx & Carrer, 2014 <doi:10.1016/j.dendro.2013.12.001>). The package has been validated for Picea abies, Larix Siberica, Pinus cembra and Pinus sylvestris.
Authors:
RAPTOR_1.0.1.tar.gz
RAPTOR_1.0.1.zip(r-4.5)RAPTOR_1.0.1.zip(r-4.4)RAPTOR_1.0.1.zip(r-4.3)
RAPTOR_1.0.1.tgz(r-4.4-any)RAPTOR_1.0.1.tgz(r-4.3-any)
RAPTOR_1.0.1.tar.gz(r-4.5-noble)RAPTOR_1.0.1.tar.gz(r-4.4-noble)
RAPTOR_1.0.1.tgz(r-4.4-emscripten)RAPTOR_1.0.1.tgz(r-4.3-emscripten)
RAPTOR.pdf |RAPTOR.html✨
RAPTOR/json (API)
# Install 'RAPTOR' in R: |
install.packages('RAPTOR', repos = c('https://the-hull.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/the-hull/raptor/issues
- anatomy.data - Anatomical measurements
Last updated 4 years agofrom:bfb37dabd9. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:alignbatch.modeexample.datafirst.cellgraph.cellsis.raptorpos.detwrite.output
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Data alignment | align |
Anatomical measurements | anatomy.data |
Automatic rows and position detection | batch.mode |
Species-specific anatomy input | example.data |
Detection of the first cells | first.cell |
Data visualization | graph.cells |
Testing and preparing input data | is.raptor |
Determining the cell position | pos.det |
Output generation and visualization | write.output |