Build a confidence interval from bootstrapped values

.summarise_CI_bootstrap(
  central_values,
  bootstrapped_values,
  value_col,
  bootstrap_id_col,
  index_col,
  alpha = 0.95,
  prefix_up = "CI_up",
  prefix_down = "CI_down"
)

Arguments

central_values	Values around which the confidence interval is going to be centered. 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.
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.
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.
alpha	value between 0 and 1. Confidence level of the confidence interval.
prefix_up	string. prefix to add to `output_value_col` to name the column containing the upper limit of confidence interval
prefix_down	string. prefix to add to `output_value_col` to name the column containing the lower limit of confidence interval

Value

dataframe with 4 columns:

index_col, the timestep index column
value_col, the value input in central_values
CI_up, the upper limit of the confidence interval
CI_down, the lower limit of the confidence interval