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DESCRIPTION
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DESCRIPTION
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Package: AdapteR
Title: Converts R syntax to SQL to provide fast analytics using in-database C++
library DB Lytix.
Version: 2.6
Authors@R: c(
person("Gregor", "Kappler", email = "gregor.kappler@fuzzylogix.com", role = c("aut","cre")),
person("Phani", "Srikar", email = "phani.srikar@fuzzylogix.com", role = c("aut")),
person("Sanchit", "Chiplunkar", email = "Sanchit.Chiplunkar@fuzzylogix.com", role = c("ctb")),
person("Amal", "Shrivastava", email = "Amal.Shrivastava@fuzzylogix.com", role = c("ctb")),
person("Rushil", "Nagda", email = "rushil9292@gmail.com", role = c("ctb")),
person("Suryavamshig", "Iitr", email = "suryavamshig.iitr@gmail.com", role = c("ctb")),
person("Mitul", "Mundra", email = "Mitul.Mundra@fuzzylogix.com", role = c("ctb")),
person("Rohit", "Gupta", email = "Rohit.Gupta@fuzzylogix.com", role = c("ctb")))
Description: drop 6 alpha! 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 (>= 3.3.1),
methods,
Matrix (>= 1.1-5)
Imports:
testthat,
plyr,
Rcpp,
utils,
graphics,
lattice,
grid,
stats,
psych,
reshape2,
stringr,
stringi,
magrittr,
DBI
Suggests:
SDMTools,
MASS,
psych,
cluster,
survival,
mgcv,
moments,
stringdist
License: GPL-2
LazyData: true
Collate:
'FLconstructSQL.R'
'platformMappings.R'
'platforms.R'
'FLMatrix.R'
'FLADTest.R'
'FLTable.R'
'data_prep.R'
'utilities.R'
'FLLinRegr.R'
'FLAggClustering.R'
'FLCApply.R'
'FLCastFunctions.R'
'FLCbind.R'
'FLCholeskyDecomp.R'
'apply.R'
'FLStatFunctions.R'
'FLCorrel.R'
'FLCoxph.R'
'FLDet.R'
'FLDiag.R'
'FLDims.R'
'FLEigen.R'
'FLExpLog.R'
'FLKMedoids.R'
'FLFKMeans.R'
'FLFTest.R'
'FLVector.R'
'FLGAM.R'
'FLGarch.R'
'FLGet.R'
'FLGinv.R'
'FLHClust.R'
'FLHKMeans.R'
'FLHKMeansSQL.R'
'FLHeadTail.R'
'FLHessenDecomp.R'
'FLHypothesisTesting.R'
'FLIdentical.R'
'FLIs.R'
'FLJordanDecomp.R'
'FLKMeans.R'
'FLKNN.R'
'FLLDA.R'
'FLLUDecomp.R'
'FLLength.R'
'FLLogRegr.R'
'FLLogRegrMN.R'
'FLMatrixArithmetic.R'
'FLStore.R'
'FLMatrixBind.R'
'FLMatrixClasses.R'
'FLMatrixNorm.R'
'FLMatrixREF.R'
'FLMatrixRREF.R'
'FLMixedModelUdt.R'
'FLMixedmodel.R'
'FLNNet.R'
'FLPCA.R'
'FLPLSRegr.R'
'FLPP.R'
'FLPrint.R'
'FLQRDecomp.R'
'FLROC.R'
'FLRankMatrix.R'
'FLRbind.R'
'FLSV.R'
'FLSVDecomp.R'
'FLSVM.R'
'FLScalarFunctions.R'
'FLSchurDecomp.R'
'FLSolve.R'
'FLSolveExcl.R'
'FLStringFunctions.R'
'FLSubsetting.R'
'FLTableMD.R'
'FLTrace.R'
'FLTranspose.R'
'FLTriDiag.R'
'FLVIF.R'
'FLVarCluster.R'
'FLWOE.R'
'FLdifference.R'
'FLtestLib.R'
'HoltWinters.R'
'SiegelTukeyTest.R'
'adf.test.R'
'arima.R'
'bagging.R'
'binom.test.R'
'boosting.R'
'checkConnection.R'
'chisq.test.R'
'cochran.qtest.R'
'constructAbstractSQL.R'
'crossprod.R'
'croston.R'
'experiment_benchmarking.R'
'friedman.test.R'
'knnx.index.R'
'kruskal.test.R'
'ks.test.R'
'kuip.test.R'
'mahalanobis.R'
'matchit.R'
'mcnemar.test.R'
'naiveBayes.R'
'randomForest.R'
'rowcolOps.R'
'rpart.R'
'subset.R'
'survdiff.R'
'survfit.R'
't.test.R'
'tcrossprod.R'
'univariate.R'
'univariateDistributionsCreators.R'
'wald_wolfowitz.R'
'wilcox.test.R'
'z.test.R'
RoxygenNote: 6.0.1