Description Usage Arguments Value See Also Examples

`general_forecasting.T`

is the general function that implements a
forecasting method for a family of Taguchi (T) methods. Each forecasting
method of a family of T methods can be implemented by setting the
parameters of this function appropriately.

1 | ```
general_forecasting.T(model, newdata, includes_transformed_newdata = FALSE)
``` |

`model` |
Object generated as a model. |

`newdata` |
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. |

`includes_transformed_newdata` |
If |

A list containing the following components is returned.

`M_hat` |
Vector with length n. The estimated values of the dependent variable after the data trasformation. |

`y_hat` |
Vector with length n. The estimated values after the inverse
transformation from |

`model` |
Object passed by |

`n` |
The number of samples for |

`q` |
The number of variables after the data transformation. |

`X` |
If |

`forecasting.T1`

, `forecasting.Ta`

, and
`forecasting.Tb`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ```
# The value of the dependent variable of the following samples mediates
# in the stackloss dataset.
stackloss_center <- stackloss[c(9, 10, 11, 20, 21), ]
# The following samples are data other than the unit space data and the test
# data.
stackloss_signal <- stackloss[-c(2, 9, 10, 11, 12, 19, 20, 21), ]
# The following settings are same as the T1 method.
model <- general_T(unit_space_data = stackloss_center,
signal_space_data = stackloss_signal,
generates_transform_functions =
generates_transformation_functions_T1,
subtracts_V_e = TRUE,
includes_transformed_data = TRUE)
# The following test samples are chosen casually.
stackloss_test <- stackloss[c(2, 12, 19), -4]
forecasting <- general_forecasting.T(model = model,
newdata = stackloss_test,
includes_transformed_newdata = TRUE)
(forecasting$y_hat) # Estimated values
(stackloss[c(2, 12, 19), 4]) # True values
``` |

okayaa/MT documentation built on April 22, 2018, 2:30 a.m.

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