fingertipscharts (version 0.0.11)

population: Plot population pyramid

Description

Plot population pyramid

Usage

population(
  data,
  value,
  sex,
  age,
  area,
  area_name,
  comparator_1,
  comparator_2,
  title,
  subtitle,
  xlab
)

Arguments

data

data.frame object to plot using ggplot2 functions

value

field containing variable to be plotted on x axis (unquoted)

sex

field containing sex variable (unquoted)

age

field containing age variable (unquoted)

area

field containing variable to be plotted on y axis (unquoted)

area_name

string; name of the local area (this should exist in the field described by the area parameter)

comparator_1

string; name of comparator area (this should exist in the field described by the area parameter)

comparator_2

string; name of comparator area (this should exist in the field described by the area parameter)

title

string; title of chart

subtitle

string; text to use as subtitle to graph

xlab

string; x-axis title

Value

a ggplot of a population pyramid against 2 optional comparators

See Also

Other quick charts: box_plots(), compare_areas(), compare_indicators(), map(), overview(), trends()

Examples

# NOT RUN {
library(dplyr)
agelevels <- c("0-4", "5-9","10-14","15-19",
               "20-24","25-29","30-34",
               "35-39","40-44","45-49",
               "50-54","55-59","60-64",
               "65-69","70-74","75-79",
               "80-84","85-89","90+")
areas <- c("Area 1", "Area 2", "Area 3")
pops <- data.frame(Age = factor(rep(agelevels, length(areas) * 2),
                                levels = agelevels),
                   Value = rep(sample(1000:3000, length(agelevels), replace = TRUE),
                               length(areas) * 2),
                   Sex = rep(rep(c("Male", "Female"),
                                 each = length(agelevels)), length(areas)),
                   AreaName = rep(areas, each = length(agelevels) * 2))

p <- population(pops,
                value = Value,
                sex = Sex,
                age = Age,
                area = AreaName,
                area_name = "Area 1",
                comparator_1 = "Area 3",
                comparator_2 = "Area 2",
                title = "Age Profile",
                subtitle = "2015/16",
                xlab = "% of total population")
p
# }