RemixAutoML (version 0.4.2)

AutoCorrAnalysis: AutoCorrAnalysis

Description

Generate correlation analysis over a data set

Usage

AutoCorrAnalysis(
  data = NULL,
  CorVars = NULL,
  SkipCorVars = NULL,
  ByGroupVars = NULL,
  DataSampleRate = 0.5,
  MinRows = 30,
  KeepSignificantVars = TRUE,
  PValAdjMethod = "holm",
  RobustCalc = TRUE,
  PartialCorr = FALSE,
  BayesianCorr = FALSE
)

Arguments

data

data.table

CorVars

Can leave NULL or supply column names you want to analyze

SkipCorVars

Can leave NULL or supply column names you want to skip

ByGroupVars

Categorical variables to run correlation analysis by

See Also

Other EDA: AutoWordFreq(), BNLearnArcStrength(), ProblematicFeatures()

Examples

# NOT RUN {
data <- RemixAutoML::FakeDataGenerator(
  Correlation = 0.85,
  N = 10000L,
  ID = 2L,
  FactorCount = 2L,
  AddDate = TRUE,
  ZIP = 2L,
  TimeSeries = FALSE,
  ChainLadder = FALSE,
  Classification = TRUE,
  MultiClass = FALSE)

# Run Analysis
data <- RemixAutoML::AutoCorrAnalysis(
  data = data,
  CorVars = NULL,
  SkipCorVars = c("IDcol_1","IDcol_2","DateTime"),
  ByGroupVars = "Factor_1",
  DataSampleRate = 0.50,
  MinRows = 30,
  KeepSignificantVars = TRUE,
  PValAdjMethod = "holm",
  RobustCalc = TRUE,
  PartialCorr = FALSE,
  BayesianCorr = FALSE)
# }