Install the package from CRAN with

install.packages("scidb")

The current development version of the package can be installed directly from sources on GitHub using the devtools package as follows (requires an R development environment and the R devtools package):

devtools::install_github("Paradigm4/SciDBR")  # development branch

# or

devtools::install_github("Paradigm4/SciDBR", ref="laboratory")  # experimental branch

The SciDB R package requires installation of a simple open-source HTTP network service called on the computer that SciDB is installed on. This service only needs to be installed on the SciDB machine, not on client computers that connect to SciDB from R. See http://github.com/paradigm4/shim for source code and installation instructions.

Developers please note that R CMD check-style unit tests are skipped unless a system environment variable named SCIDB_TEST_HOST is set to the host name or I.P. address of SciDB. See the tests directory for test code.

GitHub branch policy: the "devel" branch is for new ideas that have a good chance of making it into the CRAN package, but all tests might not yet pass. The "master" branch should pass all R CMD check tests against the current R-devel version of R on all platforms, tested against the current SciDB release.

Getting Started Documentation

https://Paradigm4.github.io/SciDBR

Changes in package version 2.0.0

This is a major release that breaks API compatibility with previous package releases. Array objects have been removed. All SciDB arrays are now presented as virtual data frames in R. This change was informed by the most common uses we've seen.