denorm_min_max: Min-Max denormalisation
In TSrepr: Time Series Representations

Description Usage Arguments Value Author(s) References See Also Examples

The denorm_min_max denormalises time series by min-max method.

1	denorm_min_max(x, min, max)

`x`	the numeric vector (time series)
`min`	the minimum value
`max`	the maximal value

the numeric vector of denormalised values

Peter Laurinec, <tsreprpackage@gmail.com>

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

norm_min_max, norm_min_max_list

# 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)