phi.extremes | R Documentation |
Automatic approach to obtain a relevance function for a given target variable when the option of extremes is chosen, i.e. users are more interested in accurately predicting extreme target values
phi.extremes(
y,
extr.type = c("both", "high", "low"),
coef = 1.5,
asym = TRUE,
...
)
y |
The target variable of a given data set |
extr.type |
Type of extremes to be considered: low, high or both (default) |
coef |
Boxplot coefficient (default 1.5) |
asym |
Boolean for assymetric interpolation. Default TRUE, uses adjusted boxplot. When FALSE, uses standard boxplot. |
... |
Additional parameters |
A list with three slots with information concerning the relevance function
method |
The method used to generate the relevance function (extremes or range) |
npts |
? |
control.pts |
Three sets of values identifying the target value-relevance-derivate for the first low extreme value, the median, and first high extreme value |
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