Plot FP estimates for multiple countries/regions, marital status, and indicators
Usage
plot_estimates_local_all(
iso_select = NULL,
subnational = FALSE,
results,
marital_status_all = c("married", "unmarried", "all"),
indicator_select_all = c("contraceptive_use_modern", "unmet_need_modern", "demand",
"demand_satisfied_modern", "contraceptive_use_traditional", "contraceptive_use_any",
"unmet_need_any", "demand_satisfied"),
dat_emu = NULL,
results2 = NULL,
results3 = NULL,
results4 = NULL,
modelnames = NULL,
add_title = TRUE,
nrow_plot = 2,
save_plots = TRUE,
cols_emus = c(clients = "red", visits = "blue", facilities = "darkgreen", users =
"orange"),
output_folder = NULL,
plot_name = "estimates"
)Arguments
- iso_select
name or names of country iso or region code
- subnational
logical, whether subnational or national
- results
output from fit_fpem()
- marital_status_all
choice out of c("married", "unmarried", "all")
- indicator_select_all
choice out of c("contraceptive_use_modern", "unmet_need_modern", "demand", "demand_satisfied_modern")
- dat_emu
data frame of emu data, if NULL, will not plot emu data
- results2
optional second model results to compare
- results3
optional third model results to compare
- results4
optional fourth model results to compare
- modelnames
names of models to use in legend if comparing more than one model
- add_title
logical, whether to add a title to the plot
- nrow_plot
when plotting 4 indicators, use 1 or 2 rows
- save_plots
logical, whether to save plots as pdf
- cols_emus
colors to use for emu data types
- output_folder
folder to save plots in
- plot_name
name of pdf file to save plots in