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:

5 exports 1 stars 1.02 score 22 dependencies 9 scripts 222 downloads

Last updated 9 months agofrom:08f3319103. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:download_geslaquery_geslaread_geslarun_gesla_appwrite_gesla

Dependencies:arrowassertthatbitbit64clicpp11dplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangtibbletidyselectutf8vctrswithr

Dealing with the GESLA dataset in R

Rendered fromintro-to-geslaR.Rmdusingknitr::rmarkdownon Sep 17 2024.

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

Introduction to Apache Arrow framework

Rendered fromintro-to-arrow.Rmdusingknitr::rmarkdownon Sep 17 2024.

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