asearch

A character with GitHub user name and GitHub repository name separated by `/`.

repo

A character vector of tags. Only artifacts that
contain all tags are returned.

patterns

<code>asearch</code> searches for artifacts that contain all specified Tags
and reads all of them from a Github <a href="/link/Repository?package=archivist&version=1.5" rd-options="" data-mini-rdoc="archivist::Repository">Repository</a>. It's a wrapper around
<a href="/link/multiSearchInGithubRepo?package=archivist&version=1.5" rd-options="" data-mini-rdoc="archivist::multiSearchInGithubRepo">multiSearchInGithubRepo</a> and <a href="/link/loadFromGithubRepo?package=archivist&version=1.5" rd-options="" data-mini-rdoc="archivist::loadFromGithubRepo">loadFromGithubRepo</a>.

Data exploration and modelling is a process in which a lot of data
    artifacts are produced. Artifacts like: subsets, data aggregates, plots,
    statistical models, different versions of data sets and different versions
    of results. The more projects we work with the more artifacts are produced
    and the harder it is to manage these artifacts. Archivist helps to store
    and manage artifacts created in R. Archivist allows you to store selected
    artifacts as a binary files together with their metadata and relations.
    Archivist allows to share artifacts with others, either through shared
    folder or github. Archivist allows to look for already created artifacts by
    using it's class, name, date of the creation or other properties. Makes it
    easy to restore such artifacts. Archivist allows to check if new artifact
    is the exact copy that was produced some time ago. That might be useful
    either for testing or caching.

Przemyslaw Biecek

archivist

Tools for Storing, Restoring and Searching for R Objects

asearch function

Read Artifacts Given as a List of Tags

Data exploration and modelling is a process in which a lot of data
artifacts are produced. Artifacts like: subsets, data aggregates, plots,
statistical models, different versions of data sets and different versions
of results. The more projects we work with the more artifacts are produced
and the harder it is to manage these artifacts. Archivist helps to store
and manage artifacts created in R. Archivist allows you to store selected
artifacts as a binary files together with their metadata and relations.
Archivist allows to share artifacts with others, either through shared
folder or github. Archivist allows to look for already created artifacts by
using it's class, name, date of the creation or other properties. Makes it
easy to restore such artifacts. Archivist allows to check if new artifact
is the exact copy that was produced some time ago. That might be useful
either for testing or caching.

asearch: Read Artifacts Given as a List of Tags

Description

Usage

Arguments

Value

Details

See Also

Examples