MSALinearity-class: Class `MSALinearity`

R6 class for performing Measurement System Analysis (MSA) Linearity studies.

Public fields

X

A data frame containing the independent variable(s) used in the linearity study.

Y

A data frame containing the dependent variable(s) or responses measured in the linearity study.

model

The linear model object resulting from the linearity analysis.

conf.level

A numeric value specifying the confidence level for the linearity analysis. This should be between 0 and 1 (e.g., 0.95 for a 95% confidence level).

Linearity

A list or data frame containing the results of the linearity study, including the linearity value and associated statistics.

GageName

A character string specifying the name of the gage or measurement system under analysis.

GageTolerance

A numeric value specifying the tolerance of the gage or measurement system.

DateOfStudy

A character string or Date object indicating the date when the linearity study was conducted.

PersonResponsible

A character string specifying the name of the person responsible for the linearity study.

Comments

A character string for additional comments or notes about the linearity study.

facNames

A character vector specifying the names of the factors involved in the study, if any.

Methods

Public methods

• MSALinearity$response()

• MSALinearity$summary()

• MSALinearity$plot()

• MSALinearity$print()

• MSALinearity$as.data.frame()

• MSALinearity$clone()

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Method response()

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

Usage

MSALinearity$response(value)

Arguments

value

New response, If missing value get the response.

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Method summary()

Methods for function summary in Package base.

Usage

MSALinearity$summary()

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Method plot()

Plots the measurement system, including individual biases, mean bias, and a regression line with confidence intervals.

Usage

MSALinearity$plot(ylim, col, pch, lty = c(1, 2))

Arguments

ylim

A numeric vector specifying the limits for the y-axis. If not provided, the limits are automatically calculated based on data.

col

A vector specifying the colors to be used for different plot elements.

pch

A numeric vector specifying the plotting characters (symbols) for individual data points and mean bias points.

lty

A numeric vector specifying the line types for the regression line and its confidence intervals. The default is c(1, 2).

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Method print()

Methods for function print in Package base.

Usage

MSALinearity$print()

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Method as.data.frame()

Return a data frame with the information of the object MSALinearity.

Usage

MSALinearity$as.data.frame()

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Method clone()

The objects of this class are cloneable with this method.

Usage

MSALinearity$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.