generate.descriptive.plots.RdCreates a subplot for each specified feature. Each subplot can be histogram or a boxplot.
generate.descriptive.plots( inputted.data, overall.plot.layout, plot.type, plot.features, plot.name )
| inputted.data | A dataframe. |
|---|---|
| overall.plot.layout | A vector with two elements to specify how many rows and columns to include in the par plot. c(rows, cols) |
| plot.type | A vector that specifies, for each subplot, should features be displayed in histogram or boxplot form. Elements can be "histogram" or "boxplot". |
| plot.features | A vector that specifies, for each subplot, what features should be analyzed. The elements should be names of columns that contain continous numerical data. |
| plot.name | A string for the name of the plot. |
No object is outputted, but a plot is displayed.
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(),
describeNumericalColumns(),
generate.descriptive.plots.save.pdf()