denorm_z: Z-score denormalisation
In TSrepr: Time Series Representations

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

The denorm_z denormalises time series by z-score method.

1	denorm_z(x, mean, sd)

`x`	the numeric vector (time series)
`mean`	the mean value
`sd`	the standard deviation 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_z, norm_z_list

# Normalise values and save normalisation parameters:
norm_res <- norm_z_list(rnorm(50, 5, 2))
# Denormalise new data with previous computed parameters:
denorm_z(rnorm(50, 4, 2), mean = norm_res$mean, sd = norm_res$sd)