plotAgeGender {EpiReport}

Age and Gender bar graph

Description

(Discouraged function. Please use plotBarGrouped() instead.)

Usage

plotAgeGender(
  .data,
  xvar = "XLabel",
  yvar = "ZValue",
  group = "YLabel",
  fill_color1 = "#65B32E",
  fill_color2 = "#7CBDC4",
  ytitle = "Rate"
)

Arguments

.data

dataframe containing the variables to plot

xvar

character string, name of the variable to plot on the x-axis in quotes (default "XLabel")

yvar

character string, name of the variable to plot on the y-axis in quotes (default "ZValue")

group

character string, name of the grouping variable in quotes, e.g. gender. (default "YLabel")

fill_color1

character string, hexadecimal colour to use in the graph for bar 1; (default to ECDC green "#65B32E", see EcdcColors(col_scale = "qual", n = 2))

fill_color2

character string, hexadecimal colour to use in the graph for bar 2; (default to ECDC blue "#7CBDC4", see EcdcColors(col_scale = "qual", n = 2))

ytitle

character string, y-axis title; (default "Rate").

Details

This function draws a bar graph of the distribution of cases by age group and gender (or possibly other grouping).
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

Expects aggregated data.

See Also

Global function: getAgeGender
Internal function: EcdcColors
Required Packages: ggplot2

Examples

# --- Create dummy data
mydat <- data.frame(Gender=c("F", "F", "M", "M"),
                    AgeGroup = c("0-65", "65+", "0-65", "65+"),
                    NumberOfCases = c(54,43,32,41))

# --- Plot the dummy data
plotAgeGender(mydat,
              xvar = "AgeGroup",
              yvar = "NumberOfCases",
              group = "Gender",
              ytitle = "Number of cases")