diagnosis

unit_space

Matrix with n rows (samples) and p columns (variables). The
data are used to calculate the desired distances from the
unit space. All data should be continuous values and should
not have missing values.

newdata

Numeric specifying the threshold value to classify each
sample into positive (<code>TRUE</code>) or negative
(<code>FALSE</code>).

threshold

If <code>TRUE</code>, then the transformed data
for <code>newdata</code> are included in a
return object.

includes_transformed_newdata

<code>diagnosis</code> is a generic function. For details, see
 <code><a rd-options="" href="/link/diagnosis.MT?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::diagnosis.MT">diagnosis.MT</a></code>, <code><a rd-options="" href="/link/diagnosis.MTA?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::diagnosis.MTA">diagnosis.MTA</a></code>,
 <code><a rd-options="" href="/link/diagnosis.RT?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::diagnosis.RT">diagnosis.RT</a></code> or <code><a rd-options="" href="/link/general_diagnosis.MT?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::general_diagnosis.MT">general_diagnosis.MT</a></code>.

Mahalanobis-Taguchi (MT) system is a collection of multivariate
analysis methods developed for the field of quality engineering. MT system
consists of two families depending on their purpose. One is a family of
Mahalanobis-Taguchi (MT) methods (in the broad sense) for diagnosis (see
Woodall, W. H., Koudelik, R., Tsui, K. L., Kim, S. B., Stoumbos, Z. G., and
Carvounis, C. P. (2003) <doi:10.1198/004017002188618626>) and the other is a
family of Taguchi (T) methods for forecasting (see Kawada, H., and Nagata, Y.
(2015) <doi:10.17929/tqs.1.12>). The MT package contains three basic methods
for the family of MT methods and one basic method for the family of T
methods. The MT method (in the narrow sense), the Mahalanobis-Taguchi
Adjoint (MTA) methods, and the Recognition-Taguchi (RT) method are for the
MT method and the two-sided Taguchi (T1) method is for the family of T
methods. In addition, the Ta and Tb methods, which are the improved versions
of the T1 method, are included.

Akifumi Okayama

MTSYS

Methods in Mahalanobis-Taguchi (MT) System

Masato Ohkubo

Yasushi Nagata

diagnosis function

<code>diagnosis</code> is a generic function. For details, see
 <code><a rd-options='' href='diagnosis.MT'>diagnosis.MT</a></code>, <code><a rd-options='' href='diagnosis.MTA'>diagnosis.MTA</a></code>,
 <code><a rd-options='' href='diagnosis.RT'>diagnosis.RT</a></code> or <code><a rd-options='' href='general_diagnosis.MT'>general_diagnosis.MT</a></code>.

diagnosis: Function to predict a diagnosis for a family of Mahalanobis-Taguchi (MT) methods

Description

Usage

Arguments

Value

See Also