https://github.com/cran/IQCC
Tip revision: 5c6e6dea621fd5b486441c5e649098ad5a6549e6 authored by Flavio Barros on 15 November 2017, 21:16:12 UTC
version 0.7
version 0.7
Tip revision: 5c6e6de
cchart.R.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/cchart.R.R
\name{cchart.R}
\alias{cchart.R}
\title{R control chart}
\usage{
cchart.R(x, n, type = "norm", y = NULL)
}
\arguments{
\item{x}{The data to be plotted.}
\item{n}{The sample size.}
\item{type}{The type of R chart to be plotted. The options are "norm"
(traditional Shewhart R chart) and "tukey" (exact R chart). If not
specified, a Shewhart R chart will be plotted.}
\item{y}{The data used in phase I to estimate the standard deviation.}
}
\value{
Return a R control chart.
}
\description{
This function builds a R control chart.
}
\details{
The Shewhart R chart was designed for phase I (at this moment). The limits
of the exact R chart are the alpha/2 and 1-alpha/2 quantiles of the R
distribution that are calculated as estimated process sd times the quantiles
of the relative range (W=R/sigma) distribution.
}
\examples{
data(pistonrings)
attach(pistonrings)
cchart.R(pistonrings[1:25,], 5)
cchart.R(pistonrings[26:40, ], 5, type = "tukey", pistonrings[1:25, ])
}
\author{
Daniela R. Recchia, Emanuel P. Barbosa
}