plotBarGrouped: Grouped bar graph

Description Usage Arguments See Also Examples

View source: R/AER_age_gender_bar.R

Description

This function draws a vertical grouped bar graph of the values of variable 'Yvar' with the categorical variable 'Xvar' on the x-axis and grouped by 'Group' categorical variable.
Expects aggregated data.

Usage

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
plotBarGrouped(
  .data,
  xvar = "XLabel",
  xlabel = "",
  yvar = "ZValue",
  ylabel = "",
  group = "YLabel",
  fill_color = EcdcColors(col_scale = "qual", n = length(unique(.data[[group]]))),
  position = "dodge"
)

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")

xlabel

character string, label of the x axis

yvar

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

ylabel

character string, label of the y axis

group

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

fill_color

vector of character strings, hexadecimal colour to use in the graph for bars; the vector should contain the number categories in "group" variable. (default to ECDC blue "#7CBDC4" and ECDC green "#65B32E", see EcdcColors(col_scale = "qual", n = 2))

position

character string, position of the bars, either "dodge" or "stack" (default "dodge", see geom_bar(position = ... )).

See Also

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

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
# --- Create dummy data
mydat <- data.frame(Gender=c("F", "F", "M", "M"),
                    AgeGroup = c("0-65", "65+", "0-65", "65+"),
                    NumberOfCases = c(30, 35, 70, 65))

# --- Plot the dummy data
plotBarGrouped(mydat,
              xvar = "AgeGroup",
              xlabel = "Age",
              yvar = "NumberOfCases",
              ylabel = "Number of cases",
              group = "Gender")

# -- Create dummy data
mydat <- data.frame(VaccStatus = rep(c("Unvaccinated", "1 dose", "2 doses", "3 doses"), 3),
                    AgeGroup = rep(c("<1", "1-4", "5-9") , each = 4),
                    Proportion = c(90, 10, 0, 0,
                                   30, 50, 20, 0,
                                   10, 25, 35, 30))
mydat$VaccStatus <- factor(mydat$VaccStatus,
                           levels = c("Unvaccinated", "1 dose", "2 doses", "3 doses"))
plotBarGrouped(mydat,
               xvar = "AgeGroup",
               xlabel = "Age (years)",
               yvar = "Proportion",
               ylabel = "Proportion of cases %",
               group = "VaccStatus",
               position = "stack")

EpiReport documentation built on July 5, 2021, 5:06 p.m.