calc_summary_measures function

Calculate All Summary Measures

Calculate summary statistics and credible intervals from a <data.frame> by group.

calc_summary_measures(
  samples,
  summarise_by = NULL,
  order_by = NULL,
  CrIs = c(0.2, 0.5, 0.9)
)

Arguments

• samples: A data.table containing at least a value variable
• summarise_by: A character vector of variables to group by.
• order_by: A character vector of parameters to order by, defaults to all summarise_by variables.
• CrIs: Numeric vector of credible intervals to calculate.

Returns

A data.table containing summary statistics by group.

Examples

samples <- data.frame(value = 1:10, type = "car")
# default
calc_summary_measures(samples)
#  by type
calc_summary_measures(samples, summarise_by = "type")