Function returning the age and gender bar graph that will be included
in the epidemiological report at the bookmark location 'BARGPH_AGEGENDER'
of the template report.
The bar graph presents the distribution of cases at EU/EEA level using either:
AG-COUNT: The number of cases by age and gender
AG-RATE: The rate per 100 000 cases by age and gender
AG-PROP: The proportion of cases by age and gender
A-RATE: The rate per 100 000 cases by age only
The choice of the type of bar graph is set in the report parameters table AERparams.
(see ECDC reports
https://www.ecdc.europa.eu/en/all-topics-z/surveillance-and-disease-data/annual-epidemiological-reports-aers)
getAgeGender(
x = EpiReport::DENGUE2019,
disease = "DENGUE",
year = 2019,
reportParameters = EpiReport::AERparams,
geoCode = "EU_EEA31",
index = 1,
doc
)'Word' doc or a ggplot2 object
dataframe, raw disease-specific dataset (see specification of the
dataset in the package vignette with browseVignettes(package = "EpiReport"))
(default DENGUE2019)
character string, disease code (default "DENGUE").
Please make sure the disease code is included in the disease-specific dataset x
in the HealthTopicCode variable.
numeric, year to produce the graph for (default 2019).
Please make sure the year is included in the disease-specific dataset x
in the TimeCode variable.
dataframe, dataset including the required parameters
for the graph and report production (default AERparams) (see specification
of the dataset in the package vignette with browseVignettes(package = "EpiReport"))
character string, GeoCode to run the analysis on
(default "EU_EEA31")
integer, figure number
'Word' document (see 'officer' package) in which to add the graph
at the bookmark location.
If doc is missing, getAgeGender returns the ggplot2 object.
Global function for the full epidemilogical report: getAER
Required Packages: ggplot2 officer
Internal functions: plotBarGrouped (use of plotAgeGender discouraged)
plotBar (use of plotAge discouraged)
EcdcColors
Default datasets: AERparams
# --- Plot using the default dataset
getAgeGender()
# --- Plot using external dataset
# --- Please see examples in the vignette
browseVignettes(package = "EpiReport")
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