mistat-package: The Modern Industrial Statistics Package In mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti

 mistat-package R Documentation

The Modern Industrial Statistics Package

Description

This R package is providing all the data sets and statistical analysis of Modern Industrial Statistics, with applications using R, MINITAB and JMP by R.S. Kenett and S. Zacks with contributions by D. Amberti, John Wiley and Sons, 2013. This second revised and expanded second edition.

Details

 Package: mistat Type: Package Date: 2012-08-22 License: GPL >= 2

Author(s)

Daniele Amberti

Maintainer: Daniele Amberti <amberti@inwind.it>

`Bootstrap Resampling`, `Quality Control Charts`, `Operating Characteristics of an Acceptance Sampling Plan`, `Quality Control Charts`, `Fractional Factorial 2-level designs`.

Examples

```data(OELECT)
data(OELECT1)

randomizationTest(list(a=OELECT, b=OELECT1),
R=500, calc=mean,
fun=function(x) x[1]-x[2],
seed=123)

Ps <- pistonSimulation(
m = rep(60, 100),
s = rep(0.02, 100),
v0 = rep(0.01, 100),
k = rep(5000, 100),
p0 = rep(110000, 100),
t = c(rep(296,35), 296*1.1^(1:65)),
t0 = rep(360, 100),
each = 1,
seed = 123,
check = FALSE)

cusumArl(mean= 0.0,
N=100,
limit=5000,
seed=123)

powerCircuitSimulation(seed=123, each=3)

set.seed(123)

Ttf <- rgamma(50,
shape=2,
scale=100)

Ttr <- rgamma(50,
shape=2,
scale=1)

AvailEbd <- availDis(ttf=Ttf,
ttr=Ttr,
n=1000, seed=123)

RenewEbd <- renewDis(ttf=Ttf,
ttr=Ttr,
time=1000,
n=1000)
```

mistat documentation built on March 7, 2023, 6:43 p.m.