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r6qualitytools (version 1.0.1)

taguchiDesign.c: taguchiDesign

Description

An R6 class representing a Taguchi experimental design.

Arguments

Public fields

name

A character string specifying the name of the design. Default is NULL.

factors

A list of factors included in the Taguchi design. Each factor is typically an instance of the taguchiFactor class.

design

A `data.frame` representing the design matrix of the experiment. This includes the levels of each factor for every run of the experiment. Default is an empty data.frame.

designType

A character string specifying the type of Taguchi design used. Default is NULL.

replic

A `data.frame` containing the replication information for the design. Default is an empty data.frame.

response

A `data.frame` storing the response values collected from the experiment. Default is an empty data.frame.

Type

A `data.frame` specifying the type of responses or factors involved in the design. Default is an empty data.frame.

block

A `data.frame` indicating any blocking factors used in the design. Default is an empty data.frame.

runOrder

A `data.frame` detailing the order in which the experimental runs were conducted. Default is an empty data.frame.

standardOrder

A `data.frame` detailing the standard order of the experimental runs. Default is an empty data.frame.

desireVal

A list storing desired values for responses in the experiment. Default is an empty list.

desirability

A list storing desirability functions used to evaluate the outcomes of the experiment. Default is an empty list.

fits

A `data.frame` containing model fits or other statistical summaries from the analysis of the experimental data. Default is an empty data.frame.

Methods

Method values()

Get and set the values for an object of class taguchiDesign.

Usage

taguchiDesign.c$values(value)

Arguments

value

New value, If missing value get the values.

Method units()

Get and set the units for an object of class taguchiDesign.

Usage

taguchiDesign.c$units(value)

Arguments

value

New units, If missing value get the units.

Method .factors()

Get and set the factors in an object of class taguchiDesign.

Usage

taguchiDesign.c$.factors(value)

Arguments

value

New factors, If missing value get the factors.

Method names()

Get and set the names in an object of class taguchiDesign.

Usage

taguchiDesign.c$names(value)

Arguments

value

New names, If missing value get the names.

Method as.data.frame()

Return a data frame with the information of the object taguchiDesign.c.

Usage

taguchiDesign.c$as.data.frame()

Method print()

Methods for function print in Package base.

Usage

taguchiDesign.c$print()

Method .response()

Get and set the the response in an object of class taguchiDesign.

Usage

taguchiDesign.c$.response(value)

Arguments

value

New response, If missing value get the response.

Method .nfp()

Prints a summary of the factors attributes including their low, high, name, unit, and type.

Usage

taguchiDesign.c$.nfp()

Method summary()

Methods for function summary in Package base.

Usage

taguchiDesign.c$summary()

Method effectPlot()

Plots the effects of factors on the response variables.

Usage

taguchiDesign.c$effectPlot(
  factors,
  fun = mean,
  response = NULL,
  points = FALSE,
  l.col,
  p.col,
  ld.col,
  lty,
  xlab,
  ylab,
  main,
  ylim,
  pch
)

Arguments

factors

Factors to be plotted.

fun

Function applied to the response variables (e.g., mean).

response

Optional; specifies which response variables to plot.

points

Logical; if TRUE, plots data points.

l.col

A color for the lines.

p.col

A color for the points.

ld.col

A color for the dashed line.

lty

Line type for plotting.

xlab

Label for the x-axis.

ylab

Label for the y-axis.

main

Main title for the plot.

ylim

Limits for the y-axis.

pch

The symbol for plotting points.

Examples

tdo = taguchiDesign("L9_3")
tdo$.response(rnorm(9))
tdo$effectPlot(points = TRUE, pch = 16, lty = 3)

Method identity()

Calculates the alias table for a fractional factorial design and prints an easy to read summary of the defining relations such as 'I = ABCD' for a standard 2^(4-1) factorial design.

Usage

taguchiDesign.c$identity()

Method clone()

The objects of this class are cloneable with this method.

Usage

taguchiDesign.c$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

Run this code

## ------------------------------------------------
## Method `taguchiDesign.c$effectPlot`
## ------------------------------------------------

tdo = taguchiDesign("L9_3")
tdo$.response(rnorm(9))
tdo$effectPlot(points = TRUE, pch = 16, lty = 3)

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