Package: dafishr 1.0.1

Fabio Favoretto

dafishr: Download, Wrangle, and Analyse Vessel Monitoring System Data

Allows to download, clean and analyse raw Vessel Monitoring System, VMS, data from Mexican government. You can use the vms_download() function to download raw data, or you can use the sample_dataset provided within the package. You can follow the tutorial in the vignette available at <https://cbmc-gcmp.github.io/dafishr/index.html>.

Authors:Fabio Favoretto [aut, cre], Eduardo Leon Solorzano [ctb]

dafishr_1.0.1.tar.gz
dafishr_1.0.1.tar.gz(r-4.5-noble)dafishr_1.0.1.tar.gz(r-4.4-noble)
dafishr_1.0.1.tgz(r-4.4-emscripten)dafishr_1.0.1.tgz(r-4.3-emscripten)
dafishr.pdf |dafishr.html
dafishr/json (API)
NEWS

# Install 'dafishr' in R:
install.packages('dafishr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cbmc-gcmp/dafishr/issues

Datasets:

8 exports 0.09 score 101 dependencies 5 scripts 361 downloads

Last updated 2 months agofrom:20f0bb24c1. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linuxNOTEAug 22 2024

Exports:%>%clean_land_pointsjoin_mpa_datajoin_ports_locationsmodel_vmspreprocessing_vmsvms_cleanvms_download

Dependencies:askpassbase64encbitbit64bslibcachemcellrangerclassclassIntclicliprcolorspacecpp11crayoncrosstalkcurldata.tableDBIdigestdplyre1071evaluatefansifarverfastmapfontawesomefsfstfstcoregenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemixtoolsmunsellnlmeopensslpillarpkgconfigplotlyprettyunitsprogresspromisesproxypurrrR6rappdirsRColorBrewerRcppreadrreadxlrematchrlangrmarkdowns2sassscalessegmentedsfstringistringrsurvivalsystibbletidyrtidyselecttimechangetinytextzdbunitsutf8vctrsviridisLitevroomwithrwkxfunyaml

Where to start

Rendered fromdafisr.Rmdusingknitr::rmarkdownon Aug 22 2024.

Last update: 2022-12-06
Started: 2022-12-06