Repo is a data-centered data flow manager. It allows to store R data files in a central local repository, together with tags, annotations, provenance and dependence information. Any saved object can then be easily located and loaded through the repo interface.
A paper about Repo has been published in BMC Bioinformatics.
Latest news are found in the NEWS.md file of the “Untested” branch.
Creating a dummy repository under the R temporary folder (skipping confirmation):
library(repo) rp <- repo_open(tempdir(), force=T) #> Repo created.
Storing data. In this case, just item values and names are specified:
God <- Inf rp$put(God) ## item name inferred from variable name rp$put(0, "user") ## item name specified
More data with specified dependencies:
rp$put(pi, "The Pi costant", depends="God") rp$put(1:10, "r", depends="user")
Loading items from the repository on the fly using names:
diam <- 2 * rp$get("r") circum <- 2 * rp$get("The Pi costant") * rp$get("r") area <- rp$get("The Pi costant") * rp$get("r") ^ 2
Storing more data with verbose descriptions:
rp$put(diam, "diameters", "These are the diameters", depends = "r") rp$put(circum, "circumferences", "These are the circumferences", depends = c("The Pi costant", "r")) rp$put(area, "areas", "These are the areas", depends = c("The Pi costant", "r"))
Showing repository contents:
print(rp) #> ID Dims Size #> God 1 51 B #> user 1 49 B #> The Pi costant 1 55 B #> r 10 99 B #> diameters 10 75 B #> circumferences 10 103 B #> areas 10 103 B
rp$info() #> Root: /tmp/RtmppFMwnb #> Number of items: 7 #> Total size: 535 B
rp$info("areas") #> ID: areas #> Description: These are the areas #> Tags: #> Dimensions: 10 #> Timestamp: 2019-12-22 17:01:45 #> Size on disk: 103 B #> Provenance: #> Attached to: - #> Stored in: /tmp/RtmppFMwnb/a/areas #> MD5 checksum: 56ad410055fedb0cae012d813a130291 #> URL: -
Manual acces to stored data:
fpath <- rp$attr("r", "path") readRDS(fpath) #>  1 2 3 4 5 6 7 8 9 10
Master: stable major releases, usually in sync with the latest CRAN version.
Dev: minor releases passing automatic checks.
Untested: in progress versions and prototype code, not necessarily working.
Besides inline help, two documents are available as introductory material:
Repo is on CRAN and can be installed from within R as follows:
Latest stable release can be downloaded from Github at https://github.com/franapoli/repo. Repo can then be installed from the downloaded sources as follows:
devtools users can install Repo directly from github as follows:
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