StabilityTestingAcrossVisits.Rd
Assess stability of values that correspond to a single identifier
StabilityTestingAcrossVisits( inputted.data, col.name.of.unique.identifier, value.to.evaluate )
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. |
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.
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()
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#> ID standard.deviation.of.val #> 1 a 1 #> 2 b 0 #> 3 c NA