Package: startR 3.0.0

Victoria Agudetse

startR: Automatically Retrieve Multidimensional Distributed Data Sets

Automatically fetch, transform and arrange subsets of multidimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. This tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.

Authors:Nicolau Manubens [aut], An-Chi Ho [aut], Nuria Perez-Zanon [aut], Victoria Agudetse [cre, ctb], Eva Rifa [ctb], Bruno de Paula Kinoshita [ctb], Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb], BSC-CNS [aut, cph]

startR_3.0.0.tar.gz
startR_3.0.0.tar.gz(r-4.7-any)startR_3.0.0.tar.gz(r-4.6-any)
startR_3.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
startR/json (API)
NEWS

# Install 'startR' in R:
install.packages('startR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.91 score 4 packages 68 scripts 232 downloads 16 exports 40 dependencies

Last updated from:3b9bc1edd5. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK151
source / vignettesOK191
linux-release-x86_64OK152
wasm-releaseOK133

Exports:AddStepCDORemapperCircularSortCollectComputeindicesNcCloserNcDataReaderNcDimReaderNcOpenerNcVarReaderSelectorCheckerSortStartStepvalues

Dependencies:abindBHbigmemorybigmemory.sricliClimProjDiagscodetoolsdigestdoParalleleasyNCDFeasyVerificationforeachfutureglobalsglueiteratorslatticelifecyclelistenvmagrittrmapprojmapsMASSmultiApplyNbClustncdf4parallellypbapplyplyrRcppRcppArmadillorlangs2dvsignalSpecsVerificationstringistringruuidvctrszoo