xmr: Generate the XMR data for any time-series data.
In xmrr: Generate XMR Control Chart Data from Time-Series Data

Used to calculate XMR data.

xmr(
  df,
  measure,
  recalc = T,
  reuse,
  interval,
  longrun,
  shortrun,
  testing,
  prefer_longrun
)

`df`	The dataframe or tibble to calculate from. Data must be in a tidy format. At least one variable for time and one variable for measure.
`measure`	The column containing the measure. Must be in numeric format.
`recalc`	Logical: if you'd like it to recalculate bounds. Defaults to True
`reuse`	Logical: Should points be re-used in calculations? Defaults to False
`interval`	The interval you'd like to use to calculate the averages. Defaults to 5.
`longrun`	Used to determine rules for long run. First point is the 'n' of points used to recalculate with, and the second is to determine what qualifies as a long run. Default is c(5,8) which uses the first 5 points of a run of 8 to recalculate the bounds. If a single value is used, then that value is used twice i.e. c(6,6))
`shortrun`	Used to determine rules for a short run. The first point is the minimum number of points within the set to qualify a shortrun, and the second is the length of a possible set. Default is c(3,4) which states that 3 of 4 points need to pass the test to be used in a calculation. If a single value is used, then that value is used twice i.e. c(3,3))
`testing`	Logical to print test results
`prefer_longrun`	Logical if you want to first test for long-runs or for short-runs.