spc.capability.summary.normal.simple: Calculate Capability Measures - Normally Distributed Data

In burrm/lolcat: Miscellaneous Useful Functions

Calculate Capability Measures - Normally Distributed Data

Description

Calculate capability measures and potential out of specification parts per million.

Usage

spc.capability.summary.normal.simple(
  stat.lsl = NA,
  stat.target = NA,
  stat.usl = NA,
  process.center = NA,
  process.variability.estimate = NA,
  process.variability.overall = NA,
  process.n.upper = NA,
  process.n.lower = NA,
  process.n = NA,
  process.ppm.upper = round(1e+06 * process.n.upper/process.n),
  process.ppm.lower = round(1e+06 * process.n.lower/process.n)
)

Arguments

stat.lsl	Lower specification limit (if applicable)
stat.target	Target for process
stat.usl	Upper specification limit (if applicable)
process.center	Estimate of process center
process.variability.estimate	Estimate of process variability, expressed as variance, usually estimated based on within-group variability.
process.variability.overall	Estimate of process variability for performance measures, expressed as variance, usually estimated based on overall variability.
process.n.upper	Observed count above upper specification limit, used to calculate PPM (parts per million).
process.n.lower	Observed count below lower specification limit, used to calculate PPM (parts per million).
process.n	Total count of subjects/objects, used to calculate PPM (parts per million).
process.ppm.upper	Observed parts per million (PPM) above upper specification limit.
process.ppm.lower	Observed parts per million (PPM) below lower specification limit.

Value

A data frame with computed measures.

burrm/lolcat documentation built on July 22, 2022, 6:21 a.m.