Cap_anal: Function to Compute and Display Process Capability
In vectis: Modified Statistical Tools

Description Usage Arguments Author(s) Examples

Computes the process capability of a continuous variable

vectis.cap(data, 
           distribution = "normal",
           USL = NA,
           LSL = NA,
           target = NA,
           main = "Capabilities Analysis",
           sub = "",
           groupsize = 1,
           mrlength = 2,
           alpha = 0.05,
           tol = 5.15,
           unbias_sub = TRUE,
           unbias_overall = FALSE
           density = FALSE,
           binwidth = -1
           plot = TRUE)

`x`	Data values
`distribution`	Distribution of sampled data. Currently only "normal" is supported.
`USL`	Upper Spec Limit
`LSL`	Lower Spec Limit
`target`	Target
`main`	Chart Title
`sub`	Chart Subtitle
`groupsize`	Group size for grouped data. Data must be sorted by groups. Currently only a groupsize of 1 is supported.
`mrlength`	Number of observations used in the moving range to compute the within standard deviation for groupsize = 1.
`alpha`	Probability of a Type I error.
`tol`	Sigma multiplier for capabilities statistics. Usually defined as 5.15 or 6.
`unbias_sub`	Logical value as to whether the subgroup standard deviation should include the unbiasing constant. Default is TRUE.
`unbias_overall`	Logical value as to whether the overall standard deviation should include the unbiasing constant. Default is FALSE.
`density`	Logical value to control the display of the density curve. Default is FALSE.
`binwidth`	Overrides automatic determination of bin width in histogram. If set to -1 (default) then the function automatically calculates the optimum binwidth.
`plot`	Logical value to control plotting. Default is TRUE

Christopher Battles

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (x) 
{
  }