BoundNormalizedVariable {FastImputation} | R Documentation |
Take a normalized variable and transform it back to a bounded variable.
Description
This takes variables on the real line and constrains them to be on
a half-line (constrained above or below) or a segment (constrained both
above and below). This is approximately the inverse of
NormalizeBoundedVariable
; this does not completely reverse the
effect of NormalizeBoundedVariable
because NormalizeBoundedVariable
first forces values away from the bounds, and this information is lost.
Usage
BoundNormalizedVariable(x, constraints)
Arguments
x |
A vector, matrix, array, or dataframe with value to be coerced into a range or set. |
constraints |
A list of constraints. See the examples below for formatting details. |
Value
An object of the same class as x with the values transformed into the desired half-line or segment.
Author(s)
Stephen R. Haptonstahl srh@haptonstahl.org
Examples
constraints=list(lower=5) # lower bound when constrining to an interval
constraints=list(upper=10) # upper bound when constraining to an interval
constraints=list(lower=5, upper=10) # both lower and upper bounds
[Package FastImputation version 2.2.1 Index]