ss.cc: Control Charts

Description

Plot control charts

Usage

ss.cc(type, data, cdata, CTQ = names(data)[1], groups, climits, nsigmas = 3)

Value

A plot with the control chart, and a list with the following elements:

LCL: Lower Control Limit
CL: Center Line
UCL: Upper Control Limit
phase: II when cdata or climits are provided. I otherwise.
out: Out of control points

Arguments

type: Type of chart (see details)
data: data.frame with the process data.
cdata: Vector with the controlled process data to compute limits.
CTQ: Name of the column in the data.frame containing the CTQ.
groups: Name of the column in the data.frame containing the groups.
climits: Limits of the controlled process. It should contain three ordered values: lower limit, center line and upper limit.
nsigmas: Number of sigmas to compute the limits from the center line (default is 3)

Author

EL Cano

Details

If control limits are provided, cdata is dismissed and a message is shown. If there are no control limits nor controlled data, the limits are computed using data.
Supported types of control charts:

mrMoving Range

References

Cano, Emilio L., Moguerza, Javier M. and Redchuk, Andres. 2012. Six Sigma with R. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. https://link.springer.com/book/10.1007/978-1-4614-3652-2.

Examples

Run this code

ss.cc("mr", ss.data.pb1, CTQ = "pb.humidity")
testout <- ss.data.pb1
testout[31,] <- list(31,17)
ss.cc("mr", testout, CTQ = "pb.humidity")

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