desire_individual: Low, high, and extreme desirability functions
In haleyeidem/integRATE: Integrating omics Data with Desirability Functions

These functions map numeric variables to a [0, 1] scale where low, high, or extreme values are most desirable.

1 2	desire_individual(x, desire_type = desire.type, cut_type = cut.type, cut1, cut2, cut3, cut4, min = 0, max = 1, scale = 1)

`x`	Vector of numeric values.
`desire_type`	Class of desirability function to apply (low, high, or extreme).
`cut_type`	Class of cuts assigned to desirability function (numerical, percentile, or none).
`cut1, cut2, cut3, cut4`	Cut points where the desirability function changes.
`min, max`	Minimum (default = 0) and maximum (default = 1) desirability scores.
`scale`	Controls shape of the desirability function. Larger values correspond to more steep and strict curves whereas smaller values correspond to more gradual and inclusive curves.