correlation.association.test.Rd
This is a work in progress function.
correlation.association.test( data1, data1.type, data1.name, data2, data2.type, data2.name )
data1 | Numerical data vector. |
---|---|
data1.type | A string to specify what type of data is data1. Options are "continuous", "ordinal", "categorical". |
data1.name | String that specifies name to associate with data1. |
data2 | Numerical data vector. |
data2.type | A string to specify what type of data is data1. Options are "continuous", "ordinal", "categorical". |
data2.name | String that specifies name to associate with data1. |
A vector of strings with two elements:
Description of test performed
P-value
Other Preprocessing functions:
AddColBinnedToBinary()
,
AddColBinnedToQuartiles()
,
AddPCsToEnd()
,
ConvertDataToPercentiles()
,
CorAssoTestMultipleWithErrorHandling()
,
DownSampleDataframe()
,
GenerateElbowPlotPCA()
,
GeneratePC1andPC2PlotsWithAndWithoutOutliers()
,
Log2TargetDensityPlotComparison()
,
LookAtPCFeatureLoadings()
,
MultipleColumnsNormalCheckThenBoxCox()
,
NormalCheckThenBoxCoxTransform()
,
RanomlySelectOneRowForEach()
,
RecodeIdentifier()
,
RemoveColWithAllZeros()
,
RemoveRowsBasedOnCol()
,
RemoveSamplesWithInstability()
,
SplitIntoTrainTest()
,
StabilityTestingAcrossVisits()
,
SubsetDataByContinuousCol()
,
TwoSampleTTest()
,
ZScoreChallengeOutliers()
,
captureSessionInfo()
,
describeNumericalColumnsWithLevels()
,
describeNumericalColumns()
,
generate.descriptive.plots.save.pdf()
,
generate.descriptive.plots()