summary: Summarize Control Chart Parameters and Data

In mxcc: Maxwell Control Charts

Summarize Control Chart Parameters and Data

Description

Methods for summarizing control charts generated by the mxrpc and mxspc functions. These methods also provide a brief summary of the data used for analysis.

Usage

## S3 method for class 'mxrpc'
summary(object, ...)
## S3 method for class 'mxspc'
summary(object, ...)

Arguments

object	An object of class mxrpc or mxspc, typically created by the mxrpc() or mxspc() function.
...	Additional arguments passed to the method (currently unused).

Details

These methods return a list summarizing the control chart parameters such as subgroup size, sample size, control limits (LCL, CL, UCL), and standard deviation. They also include summary statistics of the plotted statistic and the original or simulated data, depending on the function used.

Value

A list of class summary.mxrpc or summary.mxspc, containing the control chart parameters and summary statistics of the data.

References

Hossain, M.P., Omar, M.H. and Riaz, M. (2017) "New V control chart for the Maxwell distribution". Journal of Statistical Computation and Simulation, 87(3), pp.594-606. <doi:10.1080/00949655.2016.1222391>

Shah, F., Khan, Z., Aslam, M. and Kadry, S. (2021) "Statistical Development of the VSQ‐Control Chart for Extreme Data with an Application to the Carbon Fiber Industry". Mathematical Problems in Engineering, 2021(1), p.9766986. <doi:10.1155/2021/9766986>

Examples

# Maxwell control chart for simulated data
t1 <- mxspc(m = 40, n = 3, alpha = 0.0027, sigma = 1.5, limit = "KCL")
summary(t1)

mxcc documentation built on April 10, 2026, 5:06 p.m.