StabilityTestingAcrossVisits: Assess stability of values that correspond to a single...

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

Description

Assess stability of values that correspond to a single identifier

Usage

StabilityTestingAcrossVisits(
  inputted.data,
  col.name.of.unique.identifier,
  value.to.evaluate
)

Arguments

inputted.data	A dataframe.
col.name.of.unique.identifier	A string that specifies name of column in inputted.data containing unique identifiers.
value.to.evaluate	A string that specifies name of column in inputted.data to look at for stability of values.

Value

A dataframe with the unique.identifiers as rows and the standard deviation of the values. If a individual only has one row in the original dataframe, the SD value will be NA.

See Also

Other Preprocessing functions: AddColBinnedToBinary(), AddColBinnedToQuartiles(), AddPCsToEnd(), ConvertDataToPercentiles(), CorAssoTestMultipleWithErrorHandling(), DownSampleDataframe(), GenerateElbowPlotPCA(), GeneratePC1andPC2PlotsWithAndWithoutOutliers(), Log2TargetDensityPlotComparison(), LookAtPCFeatureLoadings(), MultipleColumnsNormalCheckThenBoxCox(), NormalCheckThenBoxCoxTransform(), RanomlySelectOneRowForEach(), RecodeIdentifier(), RemoveColWithAllZeros(), RemoveRowsBasedOnCol(), RemoveSamplesWithInstability(), SplitIntoTrainTest(), SubsetDataByContinuousCol(), TwoSampleTTest(), ZScoreChallengeOutliers(), captureSessionInfo(), correlation.association.test(), describeNumericalColumnsWithLevels(), describeNumericalColumns(), generate.descriptive.plots.save.pdf(), generate.descriptive.plots()

Examples

identifier.col <- c("a", "a", "a", "b", "b", "b", "c")
value.col <- c(1, 2, 3, 1, 1, 1, 5)
input.data.frame <- as.data.frame(cbind(identifier.col, value.col))

results <- StabilityTestingAcrossVisits(input.data.frame, "identifier.col", "value.col")

results

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