Create impact diagnostics plots — plot_impact

Functions that create impact diagnostics plots (or plotting objects). All functions are associated with one other upstream data processing function, and can be used in a pipe with that function. Where appropriate, outcome selection and label preparation is automated to reduce function arguments.

Plotting functions for impact diagnostics. See plotting-preparation functions for a set of helper functions that prepare impact diagnostics for plotting. See the details of the data argument for functions that help to prepare the data.

Usage

plot_sig_diff(data, outcome = IMPACT_OUTCOMES)

plot_diff(
  data,
  outcome = IMPACT_OUTCOMES,
  group_vars = IMPACT_GROUP_VARS,
  touchstone_old = DEF_TOUCHSTONE_OLD,
  touchstone_new = DEF_TOUCHSTONE_NEW
)

plot_modelling_group_variation(data)

plot_vaccine_gavi(data)

plot_cumul(data)

Arguments

data

A data.frame suitable for plotting.

plot_sig_diff(): Output of flag_large_diff().
plot_diff(): Output of gen_combined_df().
plot_modelling_group_variation(): Output of plot_prep_mod_grp_varn().
plot_vaccine_gavi(): Output of plot_prep_vax_gavi()
plot_cumul(): Output of plot_prep_cumul()

outcome

A string for the impact outcome. One of IMPACT_OUTCOMES.

group_vars

A single string for the grouping variables. May be any of IMPACT_OUTCOMES, which are "activity_type" and "vaccine".

touchstone_old

A string for the previous touchstone in format "YYYYMM". Defaults to DEF_TOUCHSTONE_OLD.

touchstone_new

A string for the current or new touchstone in format "YYYYMM". Defaults to DEF_TOUCHSTONE_NEW.

Value

A <ggplot2> object that can be viewed or saved.