  Everything that exists in R is an object [Chambers2016]. This article
examines what would be possible if we kept copies of all R objects that have
ever been created. Not only objects but also their properties, meta-data,
relations with other objects and information about context in which they were
created.
  We introduce archivist, an R package designed to improve the management of
results of data analysis. Key functionalities of this package include: (i)
management of local and remote repositories which contain R objects and their
meta-data (objects' properties and relations between them); (ii) archiving R
objects to repositories; (iii) sharing and retrieving objects (and it's
pedigree) by their unique hooks; (iv) searching for objects with specific
properties or relations to other objects; (v) verification of object's identity
and context of it's creation.
  The presented archivist package extends, in a combination with packages such
as knitr and Sweave, the reproducible research paradigm by creating new ways to
retrieve and validate previously calculated objects. These new features give a
variety of opportunities such as: sharing R objects within reports or articles;
adding hooks to R objects in table or figure captions; interactive exploration
of object repositories; caching function calls with their results; retrieving
object's pedigree (information about how the object was created); automated
tracking of the performance of considered models, restoring R libraries to the
state in which object was archived.
