generateEWMAChart: Generates an exponentially weighted moving average control...
In jakobbossek/scc: Shewart control charts in R.

Description Usage Arguments Value

Generates an exponentially weighted moving average control chart.

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generateEWMAChart(blocks, center, sd, parameters = list(lambda = 0.5),
  description, y_value_name = "measured quantity", desired_value,
  desired_value_name)

`blocks`	[`list`] List of blocks from which quantity is computed.
`center`	[`numeric(1)`] Long term process mean.
`sd`	[`numeric(1)`] Standard deviation of the process.
`parameters`	[`list`] List of parameters needed to compute control respectively warning bounds.
`description`	[`character(1)`] Description of the measured quantity. Used as subtitle in graphical representation.
`y_value_name`	[`character(1)`] Name for the measured characteristic. Used for example for the y axis label in the plot by default.
`desired_value`	[`numeric`] Reference value of the measured quantity, i.e., the average value. May be a single value or comply with the number of blocks (see blocks parameter).
`desired_value_name`	[`character(1)`] Label of the desired value. Used in the graphical representation.