ss.cc {SixSigma}

Control Charts

Description

Plot control charts

Usage

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

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)

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

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

Note

We have created this function since the qAnalyst package has been removed from CRAN, and it was used in the "Six Sigma with R" book to plot moving average control charts.

Author(s)

EL Cano

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.

See Also

ss.cc.constants

Examples

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")