View source: R/rmw_normalise_nested_sets.R
rmw_normalise_nested_sets | R Documentation |
Function to normalise a variable for "average" meteorological conditions in a nested tibble.
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
)
df_nest |
Nested tibble created by |
variables |
Variables to randomly sample. Default is all variables used
for training the model with the exception of |
n_samples |
Number of times to sample |
replace |
Should |
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 |
keep_samples |
When |
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? |
Nested tibble.
Stuart K. Grange
rmw_nest_for_modelling
,
rmw_model_nested_sets
, rmw_model_nested_sets
,
rmw_normalise
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.