Tools for Storing, Restoring and Searching for R Objects
Add archivist Hooks to rmarkdown Reports
Add new Tags to the Existing Repository
Show Artifact's List of Formats
Show Artifact's History
Return a Link To Download an Artifact Stored on Remote Repository
Default Options for Archivist
Tools for Storing, Restoring and Searching for R Objects
Read Artifacts Given as md5hashes from the Repository
Read Artifacts Given as md5hashes from the Repository
Read Artifacts Given as a List of Tags
Read Artifacts Given as a List of Tags
Show Artifact's Session Info
Add Tracing For All Objects Created By Given Function
Enable Caching of the Function Results with the use of Archivist
Copy an Existing Repository into Another Repository
Create an Empty Repository
Create the Summary for Each Artifact in a Markdown Format
Delete the Existing Repository from the Given Directory
Internal function for extraction of data from objects
Internal function for extraction of miniatures
Internal function for extraction of tags from objects
Get http Hook for Remote Repo
Return Tags Corresponding to md5hash
Load Artifact Given as a md5hash from a Repository
magrittr - a Forward-Pipe Operator for R
md5hash
Pipe operator
Remove Tags from Repository
Repository
Restore Versions of Libraries
Remove an Artifact Given as a md5hash from the Repository
Save an Artifact into a Repository
Search for an Artifact in the Repository Using Tags
Set Repository's Global Path
Shiny Based Live Search for an Artifact in a Repository Using Tags
View the List of Artifacts from the Repository
Split Tags in Repository
View the Summary of the Repository
Tags
Create a zip Archive From an Existing Repository
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.