scale_me
maps all instances in x
to the [0;1] range using the equation:
y = (x-min)/(max-min)
If no values for min and max are given, they are calculated per default as min=min(x) and max=max(x)
scale_me(x, min = NULL, max = NULL)
x
: vector of predictionsmin
: minimum of x
, Default: NULLmax
: maximum of x
, Default: NULLscaled values of x
if x
is greater (smaller) than max
(min
), its calibrated prediction is set to 1 (0) and warning is triggered.
Useful links