rmw_normalise_nested_sets {rmweather}

Function to normalise a variable for "average" meteorological conditions in a nested tibble.

Description

Function to normalise a variable for "average" meteorological conditions in a nested tibble.

Usage

rmw_normalise_nested_sets(
  df_nest,
  variables = NA,
  n_samples = 10,
  replace = TRUE,
  se = FALSE,
  aggregate = TRUE,
  keep_samples = FALSE,
  n_cores = NA,
  verbose = FALSE,
  progress = FALSE
)

Arguments

df_nest

Nested tibble created by rmw_model_nested_sets.

variables

Variables to randomly sample. Default is all variables used for training the model with the exception of date_unix, the trend term.

n_samples

Number of times to sample df and then predict?

replace

Should variables be sampled with replacement?

se

Should the standard error of the predictions be calculated too? The standard error method is the "infinitesimal jackknife for bagging" and will slow down the predictions significantly.

aggregate

Should all the n_samples predictions be aggregated?

keep_samples

When aggregate is FALSE, should the sampled/shuffled observations be kept?

n_cores

Number of CPU cores to use for the model predictions. Default is system's total minus one.

verbose

Should the function give messages?

progress

Should a progress bar be displayed?

Value

Nested tibble.

Author(s)

Stuart K. Grange

See Also

rmw_nest_for_modelling, rmw_model_nested_sets, rmw_model_nested_sets, rmw_normalise.