Description Usage Arguments Details Value See Also Examples
View source: R/r-batch-eda-utilities.R
Outlier detection plot
1 2 | outlierPlot(data, method = "iqr", columnName, cutoffValue = 0.05,
priColor = "blue", optionalPlots = 0)
|
data |
the dataframe that needs to be loaded |
method |
the method on which outliers are to be identified |
columnName |
the name of column for which the outliers are identified |
cutoffValue |
the cut off value to define the threshold for outliers |
priColor |
the primary color for the plots |
optionalPlots |
A Flag for optional plots |
Outlier are to be identified on the selected column from the dataframe
Outliers plot object
Other Package EDA Utilites functions: CheckColumnType
,
bivarPlots
,
correlationMatPlot
,
getDatatype
, ignoreCols
,
multiVarOutlierPlot
,
univarCatDistPlots
1 2 3 4 | ## Not run:
outlierPlot(data = iris, columnName = "Sepal.Length")
## End(Not run)
|
Loading required package: magrittr
Loading required package: pipeR
Creating a new generic function for ‘univarCatDistPlots’ in the global environment
INFO [2021-03-05 16:13:00] || Function 'univarCatDistPlots' was registered successfully ||
Creating a new generic function for ‘outlierPlot’ in the global environment
INFO [2021-03-05 16:13:01] || Function 'outlierPlot' was registered successfully ||
Creating a new generic function for ‘multiVarOutlierPlot’ in the global environment
INFO [2021-03-05 16:13:01] || Function 'multiVarOutlierPlot' was registered successfully ||
Creating a new generic function for ‘ignoreCols’ in the global environment
INFO [2021-03-05 16:13:01] || Function 'ignoreCols' was registered successfully ||
Creating a new generic function for ‘getFeaturesForPyClassification’ in the global environment
INFO [2021-03-05 16:13:01] || Function 'getFeaturesForPyClassification' was registered successfully ||
Creating a new generic function for ‘getTargetForPyClassification’ in the global environment
INFO [2021-03-05 16:13:01] || Function 'getTargetForPyClassification' was registered successfully ||
INFO [2021-03-05 16:13:01] || Function 'castKafkaStreamAsString_sparkSS' was registered successfully ||
INFO [2021-03-05 16:13:01] || Function 'convertKafkaValueFromJson_sparkSS' was registered successfully ||
INFO [2021-03-05 16:13:01] || Predefined utility functions registered ||
Attaching package: ‘analysisPipelines’
The following objects are masked _by_ ‘.GlobalEnv’:
getFeaturesForPyClassification, getTargetForPyClassification,
ignoreCols, multiVarOutlierPlot, outlierPlot, univarCatDistPlots
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.