| ss.cc | R Documentation |
Plot control charts
ss.cc(type, data, cdata, CTQ = names(data)[1], groups, climits, nsigmas = 3)
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) |
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
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 |
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.
EL Cano
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://www.springer.com/gp/book/9781461436515.
ss.cc.constants
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")