correlation.association.test: Given two numerical data vector, determine the correlation

In yhhc2/machinelearnr: Package with various functions for preprocessing, clustering, and classification

Description

This is a work in progress function.

Usage

correlation.association.test(
  data1,
  data1.type,
  data1.name,
  data2,
  data2.type,
  data2.name
)

Arguments

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.

Value

A vector of strings with two elements:

1. Description of test performed

2. P-value

See Also

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()

yhhc2/machinelearnr documentation built on Dec. 23, 2021, 7:19 p.m.