aec_subregion_plot: Plot rates by NHS subregion

In PublicHealthEngland/hcaidcs: R functions for the mandatory surveillance of bacteraemia and C. difficile infection

Plot rates by NHS subregion

Description

Subregions (aka local offices) are subdivisions of the four NHS regions. This plots rates by region in a choropleth map. Although the function takes a single argument (the spatial data frame), it relies on the presence of several variables to that data frame: * long The longitude * lat The latitude * rate The rate to be plotted as a filled value * ODC_CD The ODS code for the subregion for labelling * centroid_long The longitude for the centroid of a polygon * centroid_lat The latitude for the centroid of a polygon Both of the last two are used for the plotting of the labels within the polygon.

Usage

aec_subregion_plot(x)

Arguments

x	A spatial dataframe as described above.

Value

A ggplot2 object

Examples

data(subregion_test_data)

# Join example data to subregions_sp_df based on ODS_CD variable
subregions_sp_df <- dplyr::left_join(subregions_sp_df, subregion_test_data)

# Need to convert rand_val to factor and correctly label levels
# Can't do this before left_join as factors are coerced to characters.
subregions_sp_df$rand_val <- cut(subregions_sp_df$rand_val,
  c(0, 0.2, 0.4, 0.6, 0.8, 1.0),
  labels = c("0.0-0.2", "0.21-0.4", "0.41-0.6", "0.61-0.8", "0.81-1.0" ))
# Rename for plotting
subregions_sp_df <- dplyr::rename(subregions_sp_df, rate = rand_val)
p <- aec_subregion_plot(subregions_sp_df)
p

PublicHealthEngland/hcaidcs documentation built on Jan. 19, 2024, 8:38 a.m.