# uniftolint: Uniform Tolerance Intervals In tolerance: Statistical Tolerance Intervals and Regions

## Description

Provides 1-sided or 2-sided tolerance intervals for data distributed according to a uniform distribution.

## Usage

 ```1 2``` ```uniftol.int(x, alpha = 0.05, P = 0.99, upper = NULL, lower = NULL, side = 1) ```

## Arguments

 `x` A vector of data which is distributed according to a uniform distribution. `alpha` The level chosen such that `1-alpha` is the confidence level. `P` The proportion of the population to be covered by this tolerance interval. `upper` The upper bound of the data. When `NULL`, then the maximum of `x` is used. `lower` The lower bound of the data. When `NULL`, then the minimum of `x` is used. `side` Whether a 1-sided or 2-sided tolerance interval is required (determined by `side = 1` or `side = 2`, respectively).

## Value

`uniftol.int` returns a data frame with items:

 `alpha` The specified significance level. `P` The proportion of the population covered by this tolerance interval. `1-sided.lower` The 1-sided lower tolerance bound. This is given only if `side = 1`. `1-sided.upper` The 1-sided upper tolerance bound. This is given only if `side = 1`. `2-sided.lower` The 2-sided lower tolerance bound. This is given only if `side = 2`. `2-sided.upper` The 2-sided upper tolerance bound. This is given only if `side = 2`.

## References

Faulkenberry, G. D. and Weeks, D. L. (1968), Sample Size Determination for Tolerance Limits, Technometrics, 10, 343–348.

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ``` ## 90%/90% 1-sided uniform tolerance intervals for a sample ## of size 50 with a known lower bound of 0. set.seed(100) x <- runif(50, 0, 50) out <- uniftol.int(x = x, alpha = 0.10, P = 0.90, lower = 0, side = 1) out plottol(out, x, plot.type = "hist", side = "two", x.lab = "Uniform Data") ```

tolerance documentation built on Feb. 6, 2020, 5:08 p.m.