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Create a measures table from a tidy monthly dataset

Source: R/measures.R
create_measures.Rd

[Experimental]

Builds an analysis-ready measures table by pairing one or more numerator measures with a denominator measure, following the structure used in OpenSAFELY measures: one row per measure, organisation, and reporting interval, with a ratio column giving numerator / denominator.

Usage

create_measures(data, numerators, denominator, group_type = "Provider")

Arguments

data

Tibble, a tidy dataset as returned by get_activity_performance_monthly()

numerators

Character vector of measure IDs to use as numerators (e.g., c("M066", "M344"))

denominator

Character, single measure ID to use as the denominator (e.g., "M076")

group_type

Character, organisation level to keep. Default "Provider"

Value

Tibble with columns: measure_id, measure_name, interval_start, interval_end, numerator, org_code2, org_name2, denominator, denominator_measure_id, ratio

Examples

if (FALSE) { # \dontrun{
df <- get_activity_performance_monthly()
df_measures <- create_measures(
  df,
  numerators = c("M066", "M344", "M341", "M070", "M069"),
  denominator = "M076"
)
} # }