Description Usage Arguments Value References See Also Examples
RT
generates a unit space for the RecognitionTaguchi (RT) method. In
general_MT
, the inversed correlation matrix is used for A and
the data are transformed by the function to be generated by
generates_dimensionality_reduction_function
based on
unit_space_data
. In the transformation, the p variables in
unit_space_data
are reduced into 2 synthetic variables.
1 
unit_space_data 
Matrix with n rows (samples) and p columns (variables). Data to generate the unit space. All data should be continuous values and should not have missing values. 
includes_transformed_data 
If 
... 
Passed to 
RT
returns an object of S3 class "RT". An
object of class "RT" is a list containing the following components:
A 
2 x 2 matrix. Inversed correlation matrix of the transformed

calc_A 

transforms_data 
Function to be generated from

distance 
Vector with length n. Distances from the unit space to each sample. 
n 
The number of samples. 
q 
The number of variables after the data transformation. q is always 2. 
x 
If 
Taguchi, G. (2006). Objective Function and Generic Function (11). Journal of Quality Engineering Society, 14(2), 59. (In Japanese)
Huda, F., Kajiwara, I., Hosoya, N., & Kawamura, S. (2013). Bolt loosening analysis and diagnosis by noncontact laser excitation vibration tests. Mechanical systems and signal processing, 40(2), 589604.
solve
, general_MT
,
generates_dimensionality_reduction_function
, and
diagnosis.MT
1 2 3 4 5 6 7 8 9 10 11 12  # 40 data for versicolor in the iris dataset
iris_versicolor < iris[61:100, 5]
unit_space_RT < RT(unit_space_data = iris_versicolor,
includes_transformed_data = TRUE)
# The following "tol" is a parameter passed to the solve function.
unit_space_RT < RT(unit_space_data = iris_versicolor,
includes_transformed_data = TRUE,
tol = 1e9)
(unit_space_RT$distance)

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