Description Usage Arguments Value Examples
View source: R/facility_types.r
get & plot freq of facility types for a country
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | facility_types(
country,
datasource = "healthsites",
datasource_title = NULL,
type_filter = "all",
type_column = "Facility Type",
label_column = "Facility Name",
brewer_palette = "BuPu",
lonlat_columns = c("Longitude", "Latitude"),
admin_level = NULL,
admin_names = NULL,
plot_title = "default",
plot = TRUE
)
|
country |
a character vector of country names or iso3c character codes. |
datasource |
data source, 'healthsites' predownloaded, 'who', 'healthsites_live' needs API, 'hdx' not working yet |
datasource_title |
optional title for datasource to be used in plots - particularly if a filname has been passed for datasource |
type_filter |
filter by facility type - will depend on the data source |
type_column |
just for user provided files which column has information on type of site, default : 'Facility Type' |
label_column |
just for user provided files which column has information on name of site, default : 'Facility Name' |
brewer_palette |
ColorBrewer palette default 'BuPu', |
lonlat_columns |
just for user provided files which columns contain longitude, latitude |
admin_level |
what admin level to filter regions from FALSE or NULL if no filtering |
admin_names |
names of admin regions to filter NULL if no filter |
plot_title |
title for plot, 'default', string or NULL for no title |
plot |
whether to display plot |
ggplot2
object
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ggnga <- facility_types("nigeria", datasource='who')
facility_types('chad', datasource='who')
facility_types('chad', datasource='healthsites')
#filter healthsites data by amenity type
facility_types('chad',datasource = 'healthsites', type_filter=c('clinic','hospital'))
#filter who data by Facility type
facility_types('chad',datasource = 'who', type_filter=c('Regional hospital','Health Centre'))
# from an sf object
data(sfssd)
ggssd <- facility_types("south sudan",
datasource=sfssd,
type_column = "type")
# using consistent 9 class facility types for WHO data, specify type_column='facility_type_9'
facility_types('all', datasource='who', type_column='facility_type_9')
|
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