| ti_pp {PPQplan} | R Documentation |
Probability of Passing PPQ Test using Tolerance Interval
Description
The function for calculating the probability of passing critical quality attributes (CQA) PPQ test .
Usage
ti_pp(Llim, Ulim, mu, sigma, n, n.batch, alpha, coverprob, side)
Arguments
Llim |
lower specification limit |
Ulim |
upper specification limit |
mu |
hypothetical mean of the attribute |
sigma |
hypothetical standard deviation of the attribute |
n |
sample size (number of locations) per batch |
n.batch |
number of batches for passing PPQ during validation |
alpha |
significant level for constructing the tolerance interval |
coverprob |
coverage probability for constructing the tolerance interval |
side |
whether a 1-sided or 2-sided tolerance interval is required (determined by side = 1 or side = 2, respectively). |
Value
A numeric value of the passing/acceptance probability
Author(s)
Yalin Zhu
References
Burdick, R. K., LeBlond, D. J., Pfahler, L. B., Quiroz, J., Sidor, L., Vukovinsky, K., & Zhang, L. (2017). Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry. Springer.
See Also
rl_pp.
Examples
ti_pp(sigma=0.5, mu=2.5, n=10, n.batch=1, Llim=1.5, Ulim=3.5, alpha=0.05)
sapply(X=c(0.1,0.5, 1,2,3,4,5,10), FUN = ti_pp, mu=97, n=10, Llim=95, Ulim=105,
n.batch=1, alpha=0.05)
sapply(X=c(0.1,0.5, 1,2,3,4,5,10), FUN = ti_pp, mu=100, n=10, Llim=95, Ulim=105,
n.batch=1, alpha=0.05)