Package: geslaR 1.0-2

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_1.0-2.tar.gz
geslaR_1.0-2.zip(r-4.5)geslaR_1.0-2.zip(r-4.4)geslaR_1.0-2.zip(r-4.3)
geslaR_1.0-2.tgz(r-4.4-any)geslaR_1.0-2.tgz(r-4.3-any)
geslaR_1.0-2.tar.gz(r-4.5-noble)geslaR_1.0-2.tar.gz(r-4.4-noble)
geslaR_1.0-2.tgz(r-4.4-emscripten)geslaR_1.0-2.tgz(r-4.3-emscripten)
geslaR.pdf |geslaR.html
geslaR/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.00 score 1 stars 9 scripts 184 downloads 5 exports 22 dependencies

Last updated 11 months agofrom:08f3319103. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:download_geslaquery_geslaread_geslarun_gesla_appwrite_gesla

Dependencies:arrowassertthatbitbit64clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangtibbletidyselectutf8vctrswithr

Dealing with the GESLA dataset in R

Rendered fromintro-to-geslaR.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-08-21
Started: 2023-08-03

Introduction to Apache Arrow framework

Rendered fromintro-to-arrow.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-08-21
Started: 2023-08-07