Package: geslaR 1.0-3

Fernando Mayer

geslaR: Get and Manipulate the GESLA Dataset

Promote access to the GESLA <https://gesla787883612.wordpress.com> (Global Extreme Sea Level Analysis) dataset, a higher-frequency sea-level record data from all over the world. It provides functions to download it entirely, or query subsets directly into R, without the need of downloading the full dataset. Also, it provides a built-in web-application, so that users can apply basic filters to select the data of interest, generating informative plots, and showing the selected sites.

Authors:Fernando Mayer [aut, cre], Niamh Cahill [aut]

geslaR_1.0-3.tar.gz
geslaR_1.0-3.tar.gz(r-4.7-any)geslaR_1.0-3.tar.gz(r-4.6-any)
geslaR_1.0-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
geslaR/json (API)

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

Bug tracker:https://github.com/eireextremes/geslar/issues

Pkgdown/docs site:https://eireextremes.github.io

On CRAN:

Conda:

3.04 score 11 scripts 250 downloads 5 exports 21 dependencies

Last updated from:9f30e3802b. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK220
linux-release-x86_64OK169
wasm-releaseOK178

Exports:download_geslaquery_geslaread_geslarun_gesla_appwrite_gesla

Dependencies:arrowassertthatbitbit64clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangtibbletidyselectutf8vctrswithr

Dealing with the GESLA dataset in R
Loading the package | Downloading the full GESLA dataset | Querying subsets directly into R | Using the GESLA Shiny app
Rendered fromintro-to-geslaR.Rmdusingknitr::rmarkdown

Last update: 2023-10-09
Started: 2023-10-09

Introduction to Apache Arrow framework
The Apache Arrow framework | Using Apache Arrow with geslaR
Rendered fromintro-to-arrow.Rmdusingknitr::rmarkdown

Last update: 2023-10-09
Started: 2023-10-09