Log2TargetDensityPlotComparison: Do Log2 transformation on a column, and then compare with and...

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

Description

Do Log2 transformation on a column, and then compare with and without log2 transformation

Usage

Log2TargetDensityPlotComparison(inputted.data, col.name.to.log)

Arguments

inputted.data	A dataframe.
col.name.to.log	Name of column to do log transformation on. Column should be numerical continuous.

Value

No object is returned. A plot will be made.

See Also

Other Preprocessing functions: AddColBinnedToBinary(), AddColBinnedToQuartiles(), AddPCsToEnd(), ConvertDataToPercentiles(), CorAssoTestMultipleWithErrorHandling(), DownSampleDataframe(), GenerateElbowPlotPCA(), GeneratePC1andPC2PlotsWithAndWithoutOutliers(), LookAtPCFeatureLoadings(), MultipleColumnsNormalCheckThenBoxCox(), NormalCheckThenBoxCoxTransform(), RanomlySelectOneRowForEach(), RecodeIdentifier(), RemoveColWithAllZeros(), RemoveRowsBasedOnCol(), RemoveSamplesWithInstability(), SplitIntoTrainTest(), StabilityTestingAcrossVisits(), SubsetDataByContinuousCol(), TwoSampleTTest(), ZScoreChallengeOutliers(), captureSessionInfo(), correlation.association.test(), describeNumericalColumnsWithLevels(), describeNumericalColumns(), generate.descriptive.plots.save.pdf(), generate.descriptive.plots()

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