Calculate similarity features based on the output of the comparison procedure
feature_aLaCarte.Rd
Calculate similarity features based on the output of the comparison procedure
Arguments
- comparisonData
tibble such as one returned by the
comparison_cellBased()
orcomparison_fullScan()
functions that contains results from the cell-based or full scan comparison procedure- features
character vector containing the features to be calculated.
- id_cols
variable(s) to group by prior to calculating the summary statistics
- quiet
Boolean to suppress function messages
- ...
additional parameters for the feature calculation functions. See notes for possible additional parameters.
Note
Each additional parameter should be passed as a single argument. Possible parameters are "eps" and "minPts" used in the density-based feature calculation and "threshold" used in the visual diagnostic feature calculation. See the documentation for feature_densityBased_all or feature_visualDiagnostic_all to learn more about these parameters.