# R/fidbintolint.R In tolerance: Statistical Tolerance Intervals and Regions

```fidbintol.int <- function(x1, x2, n1, n2, m1 = NULL, m2 = NULL, FUN, alpha = 0.05, P = 0.99, side = 1, K = 1000, B = 1000)
{
FUN <- match.fun(FUN)
if (side != 1 && side != 2) {
stop(paste("Must specify a one-sided or two-sided procedure!",
"\n"))
}
if (side == 2) {
alpha <- alpha/2
P <- (P + 1)/2
}
if(is.null(m1)) m1 <- n1
if(is.null(m2)) m2 <- n2
est <- FUN(x1/n1,x2/n2)
Q.p1 <- rbeta(K,x1+0.5,n1-x1+0.5)
Q.p2 <- rbeta(K,x2+0.5,n2-x2+0.5)
TEMP <- sapply(1:1000, function(i) quantile(FUN(rbinom(B,m1,Q.p1[i])/m1,rbinom(B,m2,Q.p2[i])/m2),c(1-P,P),na.rm=TRUE))
lower <- quantile(TEMP[1,],alpha)
upper <- quantile(TEMP[2,],1-alpha)
if (side == 2) {
alpha <- 2 * alpha
P <- (2 * P) - 1
}
FUN.name <- rFUN(FUN,r1="pi.1",r2="pi.2")
temp <- data.frame(cbind(alpha, P, est, lower, upper))
if (side == 2) {
colnames(temp) <- c("alpha", "P", "fn.est", "2-sided.lower", "2-sided.upper")
}
else {
colnames(temp) <- c("alpha", "P", "fn.est", "1-sided.lower", "1-sided.upper")
}
rownames(temp) <- 1
temp <- list(tol.limits=temp,fn=noquote(FUN.name))
temp

}
```

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tolerance documentation built on May 2, 2019, 4:01 a.m.