cv30_dar_car_mic_ppu {CleaningValidation} | R Documentation |
Calculate DAR, CAR, and Mic Ppu Values and Identify the Overall Minimum
Description
This function calculates Ppu values for DAR, CAR, and Mic using the KDE method provided by the 'cv12_kde_ppu' function. It then uses the 'cv29_mic_ppu' function to calculate combined Ppu for Mic and extract the method with the minimum Ppu value. The function assumes the availability of the datasets 'Eq_DAR', 'Eq_CAR', and 'Eq_Mic' that conform to expected column naming conventions and data structures. It is reliant on the results of the 'cv12_kde_ppu' and 'cv29_mic_ppu' functions being consistent and correctly formatted.
Usage
cv30_dar_car_mic_ppu(
dar_data,
dar_residue_col,
dar_cleaning_event_col,
dar_usl_col,
car_data,
car_residue_col,
car_cleaning_event_col,
car_usl_col,
mic_data,
mic_residue_col,
mic_cleaning_event_col,
mic_usl_col
)
Arguments
dar_data |
A dataframe containing DAR data. |
dar_residue_col |
The name of the DAR residue column. |
dar_cleaning_event_col |
The name of the DAR cleaning event identifier column. |
dar_usl_col |
The name of the DAR Upper Specification Limit column. |
car_data |
A dataframe containing CAR data. |
car_residue_col |
The name of the CAR residue column. |
car_cleaning_event_col |
The name of the CAR cleaning event identifier column. |
car_usl_col |
The name of the CAR Upper Specification Limit column. |
mic_data |
A dataframe containing Mic data. |
mic_residue_col |
The name of the Mic residue column. |
mic_cleaning_event_col |
The name of the Mic cleaning event identifier column. |
mic_usl_col |
The name of the Mic Upper Specification Limit column. |
Value
A dataframe with Ppu values for DAR, CAR, and Mic, along with the Overall Minimum Ppu.
Author(s)
Chan, Mohamed, Lou, Wendy, Yang, Xiande [xiande.yang at gmail.com]
Examples
Eq_DAR <- cv03_usl_unification(data = Eq_DAR, cleaning_event_col = "CleaningEvent",
residue_col = "DAR", usl_col = "USL")
Eq_CAR <- cv03_usl_unification(data = Eq_CAR, cleaning_event_col = "CleaningEvent",
residue_col = "CAR", usl_col = "USL")
df1 <- cv30_dar_car_mic_ppu(
dar_data = Eq_DAR,
dar_residue_col = "DAR_Pct",
dar_cleaning_event_col = "CleaningEvent",
dar_usl_col = "USL_Pct",
car_data = Eq_CAR,
car_residue_col = "CAR_Pct",
car_cleaning_event_col = "CleaningEvent",
car_usl_col = "USL_Pct",
mic_data = Eq_Mic,
mic_residue_col = "Mic",
mic_cleaning_event_col = "CleaningEvent",
mic_usl_col = "USL")