normalize: Normalize a series using conditional moments

In PuwasalaG/conduits: CONDitional UI for Time Series normalisation

Normalize a series using conditional moments

Description

This function produces a normalized series using conditional moments.

Usage

normalize(data, y, fit_mean, fit_var)

Arguments

data	a tsibble containing all the time series which are uniquely identified by the corresponding Timestamp.
y	The variable name
fit_mean	Model object of class "conditional_moment" returned from conditional_mean with information to append to observations.
fit_var	Model object of class "conditional_moment" returned from conditional_var with information to append to observations.

Value

A vector of conditional normliased series

Examples

data <- NEON_PRIN_5min_cleaned |>
  dplyr::filter(site == "upstream") |>
  dplyr::select(Timestamp, turbidity, level, conductance, temperature) |>
  tsibble::as_tsibble(index = Timestamp)

fit_mean <- data |>
  conditional_mean(turbidity ~ s(level, k = 8) +
    s(conductance, k = 8) + s(temperature, k = 8))

fit_var <- data |>
  conditional_var(
    turbidity ~ s(level, k = 7) + s(conductance, k = 7) + s(temperature, k = 7),
    family = "Gamma",
    fit_mean = fit_mean
  )

new_ts <- data |>
  dplyr::mutate(ystar = conduits::normalize(data, turbidity, fit_mean, fit_var))

PuwasalaG/conduits documentation built on April 22, 2023, 3:40 p.m.