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DESCRIPTION
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Package: AdapteR
Title: This package wraps around Fuzzy Logix's DBLytix functions
Version: 2.0
Authors@R: c(
person("Gregor", "Kappler", email = "[email protected]", role = c("aut","cre")),
person("Phani", "Srikar", email = "[email protected]", role = c("aut")),
person("Rushil", "Nagda", email = "[email protected]", role = c("ctb")),
person("Suryavamshig", "Iitr", email = "[email protected]", role = c("ctb")),
person("Mitul", "Mundra", email = "[email protected]", role = c("ctb")),
person("Rohit", "Gupta", email = "[email protected]", role = c("ctb")))
Description: With Fuzzy Logix' DB Lytix(TM), advanced analytics can realize
dramatic improvements in performance by moving computation from client machines
into data warehouses and clusters where big data lives. As important as
performance and scalability is the way in which the end user interacts with
the analytics, and the R language has become most pervasive in this area.
R is remarkably expressive and flexible, allowing for fast prototyping and
evaluation, enabling agile analytics. Fuzzy Logix's new R package AdapteR
enables the R syntax to consume DB Lytix in-database analytics by generating
SQL transparently, and replacing R matrix and data frame data structures with
remote table objects. AdapteR uses R's class system and method override to
seamlessly leverage in-database analytics, without requiring complicated R
server installations or writing custom SQL. In this session, we will demonstrate
how AdapteR can be used to build interactive analytics at scale with just a few
lines of R code!
Depends:
R (>= 3.1.0),
plyr,
MASS (>= 7.3-10),
Matrix (>= 1.1-5),
base,
stats,
psych,
reshape2,
cluster,
methods,
DBI,
testthat,
survival,
mgcv
Imports:
plyr,
MASS (>= 7.3-10),
Matrix (>= 1.1-5),
base,
stats,
psych,
reshape2,
cluster,
methods,
DBI,
testthat,
mgcv
License: GPL-2
LazyData: true
Collate:
'FLStore.R'
'utilities.R'
'FLMatrix.R'
'FLTable.R'
'FLVector.R'
'FLAggClustering.R'
'FLDims.R'
'FLIs.R'
'FLPrint.R'
'FLCApply.R'
'FLCastFunctions.R'
'FLCbind.R'
'FLCholeskyDecomp.R'
'FLColMeans.R'
'FLColSums.R'
'FLCorrel.R'
'data_prep.R'
'FLCoxph.R'
'FLDet.R'
'FLDiag.R'
'FLEigen.R'
'FLExpLog.R'
'FLFKMeans.R'
'FLGAM.R'
'FLGinv.R'
'FLHClust.R'
'FLHKMeans.R'
'FLHeadTail.R'
'FLHessenDecomp.R'
'FLIdentical.R'
'FLJordanDecomp.R'
'FLKMeans.R'
'FLKMedoids.R'
'FLLUDecomp.R'
'FLLength.R'
'FLLinRegr.R'
'FLLogRegr.R'
'FLLogRegrMN.R'
'FLMatrixArithmetic.R'
'FLconstructSQL.R'
'FLMatrixBind.R'
'FLMatrixClasses.R'
'FLMatrixNorm.R'
'FLMatrixREF.R'
'FLMatrixRREF.R'
'FLQRDecomp.R'
'FLRankMatrix.R'
'FLRbind.R'
'FLRowMeans.R'
'FLRowSums.R'
'FLSV.R'
'FLSVDecomp.R'
'FLSolve.R'
'FLSolveExcl.R'
'FLStringFunctions.R'
'FLSubsetting.R'
'FLTrace.R'
'FLTranspose.R'
'FLTriDiag.R'
'FLVarCluster.R'
'FLtestLib.R'
RoxygenNote: 5.0.1