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

Description Usage Arguments Value

View source: R/spc.capability.summary.normal.simple.R

Description

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

Usage

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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 Oct. 13, 2021, 11:35 p.m.