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dataset
View on CRAN: Click
here
Download and install dataset package within the R console
Install from CRAN:
install.packages("dataset")
Install from Github:
library("remotes")
install_github("cran/dataset")
Install by package version:
library("remotes")
install_version("dataset", "0.3.4")
Attach the package and use:
library("dataset")
Maintained by
Daniel Antal
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dataset . https://github.com/dataobservatory-eu/dataset/issues/ . https://dataset.dataobservatory.eu/ . dataset citation info . dataset results . dataset.pdf . Bibentry for FAIR datasets . dataset_0.3.4.tar.gz . dataset_0.3.4.zip . dataset_0.3.4.zip . dataset_0.3.4.zip . dataset_0.3.4.tgz . dataset_0.3.4.tgz . dataset_0.3.4.tgz . dataset_0.3.4.tgz . dataset_0.3.4.tgz . dataset_0.3.4.tgz . dataset archive . https://CRAN.R-project.org/package=dataset .
First Published: 2022-12-02
Latest Update: 2024-02-17
Description:
The aim of the 'dataset' package is to make tidy datasets easier to release,
exchange and reuse. It organizes and formats data frame 'R' objects into well-referenced,
well-described, interoperable datasets into release and reuse ready form. A subjective
interpretation of the W3C DataSet recommendation and the datacube model ,
which is also used in the global Statistical Data and Metadata eXchange standards,
the application of the connected Dublin Core
and DataCite standards
preferred by European open science repositories to improve the findability, accessibility,
interoperability and reusability of the datasets.
How to cite:
Daniel Antal (2022). dataset: Create Data Frames that are Easier to Exchange and Reuse. R package version 0.3.4, https://cran.r-project.org/web/packages/dataset. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited dataset R package
View dataset citation profile
Other R packages that dataset depends,
imports, suggests or enhances
Complete documentation for dataset
Functions, R codes and Examples using
the dataset R package
Some associated functions: DataStructure . creator . datacite . dataset . dataset_bibentry . dataset_download . dataset_namespace . dataset_prov . dataset_title . dataset_to_triples . dataset_ttl_write . datasource_get . describe . description . dublincore . geolocation . get_prefix . head.dataset . id_to_column . identifier . initialise_dsd . iris_dataset . language . provenance . publication_year . publisher . related_item . related_item_identifier . rights . size . statwales . subject . subsetting . var_labels . version . xsd_convert .
Some associated R codes: DataStructure.R . as_bibentry.R . as_dataset.R . creator.R . data-dataset_namespace.R . data-iris_dataset.R . data-statwales.R . datacite.R . dataset.R . dataset_bibentry.R . dataset_download.R . dataset_prov.R . dataset_title.R . dataset_to_triples.R . datasource.R . describe.R . description.R . dublincore.R . geolocation.R . get_prefix.R . head-tail.R . id_to_column.R . identifier.R . language.R . provenance.R . publication_year.R . publisher.R . related_item.R . rights.R . size.R . subject.R . subsetting.R . ttl_dataset_write.R . utils-idcol_find.R . utils.R . var_labels.R . version.R . xsd_convert.R . Full dataset package functions and examples
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