Package: fishRman 1.2.3
fishRman: The Fisheries Scientist's Toolbox
A bundle of analytics tools for fisheries scientists. A 'shiny' R App is included for a 'no-code' solution for retrieval, analysis, and visualization.
Authors:
fishRman_1.2.3.tar.gz
fishRman_1.2.3.zip(r-4.5)fishRman_1.2.3.zip(r-4.4)fishRman_1.2.3.zip(r-4.3)
fishRman_1.2.3.tgz(r-4.4-any)fishRman_1.2.3.tgz(r-4.3-any)
fishRman_1.2.3.tar.gz(r-4.5-noble)fishRman_1.2.3.tar.gz(r-4.4-noble)
fishRman_1.2.3.tgz(r-4.4-emscripten)fishRman_1.2.3.tgz(r-4.3-emscripten)
fishRman.pdf |fishRman.html✨
fishRman/json (API)
# Install 'fishRman' in R: |
install.packages('fishRman', repos = c('https://shyentist.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shyentist/fish-r-man/issues
dashboardfisheriesfisheries-managementfisheries-researchfishing-effortglobal-fishing-watchglobalfishingwatchmarine-biologyopen-sourceshiny
Last updated 8 months agofrom:50f9b28021. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win | NOTE | Nov 22 2024 |
R-4.5-linux | NOTE | Nov 22 2024 |
R-4.4-win | NOTE | Nov 22 2024 |
R-4.4-mac | NOTE | Nov 22 2024 |
R-4.3-win | NOTE | Nov 22 2024 |
R-4.3-mac | NOTE | Nov 22 2024 |
Exports:df.typegfw.summarizerun_apptop.percent.by
Dependencies:askpassattemptbase64encbslibcachemclassclassIntclicolorspacecommonmarkconfigcountrycodecrayoncurlDBIdigestdplyre1071fansifarverfastmapfontawesomefsgenericsggplot2gluegolemgridExtragtableherehtmltoolshttpuvhttrisobandjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclemagrittrmapsMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigpromisesproxyR6rappdirsRColorBrewerRcpprlangrprojroots2sassscalessfshinyshinyBSshinyjsshinyWidgetssourcetoolssystibbletidyselectunitsutf8vctrsviridisviridisLitewithrwkxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Check the type of dataframe in relation to fishRman | df.type |
Summarize GFW data on fishing effort | gfw.summarize |
Run the Shiny Application | run_app |
Subset the top percent of a dataframe by a specific column | top.percent.by |