OCASNZ4D {AQLSchemes} | R Documentation |
This function takes the data frame=plan created by the AAZ14Double function and and a vector of proportion defectives=pd. It calculates OC and ASN values and creates a data frame.
OCASNZ4D(plan,pd)
plan |
plan is a data frame with two rows containing sample no's=n,acceptance no's=c, and rejection no's=r for first and second samples |
pd |
pd is a vector of values of the poprtion defective to b used in the OC ASN Curves |
This function calls the function AAZ14Double to get the specifications and recall and print the plan.
John S. Lawson lawson@byu.edu
1. The Statistics Subcommittee of the Accredited Standards Committee Z1 on Quality Environment Dependability and Statistics "American National Standard Sampling Procedures and Tables for Inspection by Attributes" American Society for Quality, Milwaukee, Wisconsin, 2008.
# library(AQLSchemes) ## planD<-AADouble('Normal') # What is the Inspection Level? # # 1: S-1 # 2: S-2 # 3: S-3 # 4: S-4 # 5: I # 6: II # 7: III # # Selection: 6 # # What is the Lot Size? # # 1: 2-8 2: 9-15 3: 16-25 4: 26-50 # 5: 51-90 6: 91-150 7: 151-280 8: 281-500 # 9: 501-1200 10: 1201-3200 11: 3201-10,000 12: 10,001-35,000 # 13: 35,001-150,000 14: 150,001-500,000 15: 500,001 and over # # Selection: 11 # # What is the AQL in percent nonconforming per 100 items? # # 1: 0.010 2: 0.015 3: 0.025 4: 0.040 5: 0.065 6: 0.10 7: 0.15 8: 0.25 # 9: 0.40 10: 0.65 11: 1.0 12: 1.5 13: 2.5 14: 4.0 15: 6.5 16: 10 # 17: 15 18: 25 19: 40 20: 65 21: 100 22: 150 23: 250 24: 400 # 25: 650 26: 1000 # # Selection: 12 # #> planD # n c r # first 125 3 7 # second 125 8 9 # Pnc<-seq(0,.08,.001) # OCASNZ4D(plan,Pnc)