npcrs2 {qccrs} | R Documentation |
Attributes Control Charts under Repetitive Sampling with two positive integers
Description
Calculates Average Sample Numbers (ASN), Average Run Length (ARL1) and value of k1 and k2 for attributes control charts under repetitive sampling as given in Aslam et al.(2014)
Usage
npcrs2(.n, .p0, .f, .ssize = NULL, .k1 = NULL, .k2 = NULL,
.k1r = NULL, .k2r = NULL)
## Default S3 method:
npcrs2(.n, .p0, .f, .ssize = NULL, .k1 = NULL,
.k2 = NULL, .k1r = NULL, .k2r = NULL)
Arguments
.n |
Sample Size |
.p0 |
probability that process is in control |
.f |
Size of the Shift |
.ssize |
Number of samples with replacement at each iteration |
.k1 |
Fixed positive constant |
.k2 |
Fixed positive constant |
.k1r |
Random postive constant |
.k2r |
Random postive constant |
Value
ASN, ARL, K1 and K2
Author(s)
Muhammad Yaseen (myaseen208@gmail.com)
Muhammad Aslam (aslam_ravian@hotmail.com)
Sami Ullah (samiullahuos@gmail.com)
Muhammad Azam (mazam@uvas.edu.pk)
Chi-Hyuck Jun (chjun@postech.ac.kr)
Muhammad Kashif (mkashif@uaf.edu.pk)
References
Aslam, M., Azam, M. and Jun, C. (2014). New Attributes and Variables Control Charts under Repetitive Sampling. Industrial Engineering & Management Systems. 13(1):101-106.
Examples
library(magrittr)
npcrs2(
.n = 40
, .p0 = 0.10
, .f = 0.1
, .ssize = 1000
, .k1r = 4
, .k2r = .95
)
npcrs2(
.n = 40
, .p0 = 0.10
, .f = 0.1
, .k1 = 3.13
, .k2 = .731
)