Compute bagged mean from bootstrapped replicates — .summarise_bagged

If original_values are included, these values are included in the mean computation along with the bootstrapped_values.

.summarise_bagged_mean(
  bootstrapped_values,
  original_values = NULL,
  value_col,
  bootstrap_id_col,
  index_col
)

Arguments

bootstrapped_values	Bootstrap replicates of the original data. Must be a dataframe in the long format with a timestep index column named `index_col`, a bootstrap replicate index column named `bootstrap_id_col`, and a value column named `value_col`. The index column must not contain any `NA` value.
original_values	Optional. Values of reference used to construct the uncertainty interval around. Typically, these are estimates obtained on the original data. Must be a dataframe with a timestep index column named `index_col` and a value column named `value_col`. The index column must not contain any `NA` value.
value_col	string. Name of the column containing values.
bootstrap_id_col	string. Name of the column containing bootstrap samples numbering. Id 0 must correspond to values associated to the original data.
index_col	string. Name of the index column. The index tracks which data point in bootstrapped values corresponds to which data point in the original values.

a dataframe containing a time step index column named index_col and a column containing bagged mean values called value_col