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MTSYS provides a collection of multivariate analysis methods in Mahalanobis-Taguchi System (MTS), which was developed for the field of quality engineering. MTS consists of two families depending on their purpose. One is a family of Mahalanobis-Taguchi (MT) methods (in the broad sense) for diagnosis and the other is a family of Taguchi (T) methods for forecasting.
The following methods are implemented.
For details, see the following referenses.
Install the release version from CRAN:
install.packages("MTSYS")
Or the development version from github
# install.packages("devtools")
::install_github("okayaa/MTSYS") devtools
library(MTSYS)
# 40 data for versicolor in the iris dataset
<- iris[61:100, -5]
iris_versicolor
<- MT(unit_space_data = iris_versicolor)
unit_space_MT
# 10 data for each kind (setosa, versicolor, virginica) in the iris dataset
<- iris[c(1:10, 51:60, 101:111), -5]
iris_test
<- diagnosis(unit_space = unit_space_MT, newdata = iris_test,
diagnosis_MT threshold = 4)
$le_threshold)
(diagnosis_MT#> 1 2 3 4 5 6 7 8 9 10
#> FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> 51 52 53 54 55 56 57 58 59 60
#> TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> 101 102 103 104 105 106 107 108 109 110 111
#> TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.