describeNumericalColumns.RdDescribe each numerical feature. Mean, stddev, median, skewness (symmetry), kurtosis (flatness), pass normality?
describeNumericalColumns(input.data, column.names.to.use, file.name = NULL)
| input.data | A dataframe. |
|---|---|
| column.names.to.use | Vector of strings of column names. Function will only describe these specified columns (features). |
| file.name | Name of the text file or absolute path of the file to write the output to. If the input is NULL, then no file is generated. |
A dataframe where the rows are the descriptions and columns are the features. Additionally, a text file will be created which also captured the function output.
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(),
correlation.association.test(),
describeNumericalColumnsWithLevels(),
generate.descriptive.plots.save.pdf(),
generate.descriptive.plots()