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geslaR
View on CRAN: Click
here
Download and install geslaR package within the R console
Install from CRAN:
install.packages("geslaR")
Install from Github:
library("remotes")
install_github("cran/geslaR")
Install by package version:
library("remotes")
install_version("geslaR", "1.0-1")
Attach the package and use:
library("geslaR")
Maintained by
Fernando Mayer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.geslaR . https://github.com/EireExtremes/geslaR/issues . https://github.com/EireExtremes/geslaR . https://eireextremes.github.io/geslaR/ . geslaR results . geslaR.pdf . geslaR_1.0-1.tar.gz . geslaR_1.0-1.zip . geslaR_1.0-1.zip . geslaR_1.0-1.zip . geslaR_1.0-1.tgz . geslaR_1.0-1.tgz . geslaR_1.0-1.tgz . geslaR_1.0-1.tgz . geslaR_1.0-1.tgz . geslaR_1.0-1.tgz . https://CRAN.R-project.org/package=geslaR .
First Published: 2023-10-09
Latest Update: 2023-10-09
Description:
Promote access to the GESLA
(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.
How to cite:
Fernando Mayer (2023). geslaR: Get and Manipulate the GESLA Dataset. R package version 1.0-1, https://cran.r-project.org/web/packages/geslaR. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited geslaR R package
View geslaR citation profile
Other R packages that geslaR depends,
imports, suggests or enhances
Complete documentation for geslaR
Functions, R codes and Examples using
the geslaR R package
Some associated functions: download_gesla . query_gesla . read_gesla . run_gesla_app . write_gesla .
Some associated R codes: download_gesla.R . query_gesla.R . read_gesla.R . run_gesla_app.R . utils.R . write_gesla.R . Full geslaR package functions and examples
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