denorm_min_max {TSrepr} | R Documentation |
Min-Max denormalisation
Description
The denorm_min_max
denormalises time series by min-max method.
Usage
denorm_min_max(x, min, max)
Arguments
x |
the numeric vector (time series) |
min |
the minimum value |
max |
the maximal value |
Value
the numeric vector of denormalised values
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
References
Laurinec P, Lucká M (2018) Clustering-based forecasting method for individual consumers electricity load using time series representations. Open Comput Sci, 8(1):38–50, DOI: 10.1515/comp-2018-0006
See Also
norm_min_max, norm_min_max_list
Examples
# Normalise values and save normalisation parameters:
norm_res <- norm_min_max_list(rnorm(50, 5, 2))
# Denormalise new data with previous computed parameters:
denorm_min_max(rnorm(50, 4, 2), min = norm_res$min, max = norm_res$max)
[Package TSrepr version 1.1.0 Index]