dilp_errors() will typically only be called internally by dilp().
However, it can be used on its own to evaluate errors that commonly occur
during the data collection and processing steps. A dilp_errors() call
will nearly always follow a dilp_processing() call. Returns a data frame.
Arguments
- specimen_data
Processed specimen level leaf physiognomic data. The structure should match the structure of the output from
dilp_processing()
Value
A 7 by X data frame. Each row shows a common error, and which specimens from the input dataset are tripping it.
Examples
# Check for errors in the provided McAbeeExample dataset.
dilp_dataset <- dilp_processing(McAbeeExample)
dilp_errors <- dilp_errors(dilp_dataset)
dilp_errors
#> Check Specimen1
#> 1 Entire tooth count not NA none
#> 2 Entire tooth count : IP not NA none
#> 3 Entire perimeter ratio not NA none
#> 4 FDR not between 0-1 none
#> 5 External perimeter not larger than internal perimeter none
#> 6 Feret is not larger than minimum Feret none
#> 7 Perimeter ratio not greater than 1 none