Plot decile charts for each measure, optionally highlighting services

Shows the distribution of ratios across all services as decile bands (10th to 90th percentile, darker closer to the median), facetted by measure. Selected services can be highlighted as coloured lines, labelled with their service name by default or with generic "Service A", "Service B", ... labels when service names should not be shown (e.g. in a blog post).

Usage

plot_measures_deciles(
  measures,
  highlight_services = NULL,
  hide_service_names = FALSE,
  ncol = 2,
  panel_tags = FALSE,
  measure_order = NULL
)

Arguments

measures

Tibble, as returned by create_measures(), filtered to the measures to plot

highlight_services

Character vector of org codes to highlight (e.g., c("RNUDT", "RTQ")). Default NULL (no services highlighted)

hide_service_names

Logical, label highlighted services "Service A", "Service B", ... instead of their service name. Default FALSE

ncol

Integer, number of facet columns. Default 2

panel_tags

Logical, prefix panels with "A:", "B:", ... Default FALSE

measure_order

Character vector of measure IDs giving the panel order. Default NULL (panels ordered by measure ID)

Value

A ggplot object, so labels and theme can be adjusted with +

Examples

if (FALSE) { # \dontrun{
# highlighted services labelled with their names
df_clean |> plot_measures_deciles(highlight_services = c("RNUDT", "RTQ"))

# generic labels when service names should not be shown
df_clean |> plot_measures_deciles(highlight_services = c("RNUDT", "RTQ"), hide_service_names = TRUE)
} # }