I have tried to familiarise myself with making mosaic plots in R with the ggmosaic package's geom_mosaic() command.
My problem is that I want the regions to be ordered by the share of seniors in each region, and not by name as now. Any help?
I am not very used to work with factors, but I have tried to do different things with forecat's fct_reorder() command without any luck.
Here is a sample dataset (not the actual dataset I work with) and the code I have made so far:
# install.packages(c("ggplot2", "ggmosaic"))
library(ggplot2)
library(ggmosaic)
# Make data set
region <- c("Oslo", "Oslo", "Oslo", "Viken", "Viken", "Viken",
"Nordland", "Nordland", "Nordland")
age <- c("young", "adult", "senior", "young", "adult", "senior",
"young", "adult", "senior")
pop <- c(145545, 462378, 89087, 299548, 729027, 223809, 52156, 136872, 51317)
df <- data.frame(region, age, pop)
# Make mosaic plot
ggplot(data = df) +
geom_mosaic(aes(x = product(age, region), fill = age, weight = pop)) +
coord_flip() +
theme_minimal()
UPDATE: Sorry If I was unclear but what I wanted was this:
Where the regions are ranked/ordered by the share of seniors rather than the default order, like this:
I solved it somehow by using the fct_reorder() command in an 'untidy' way rather than as part of a mutate command in a pipeline. I have no idea why that meant any difference. Another comment, the fct_reorder() command works fine within a regular ggplot2 geom_... command but not (at least the way I tried) in the geom_mosaic command from the ggmosaic package.
NEW CODE (which is way too verbose to estimate the share of seniors)
# install.packages(c("ggplot2", "ggmosaic"))
library(ggplot2)
library(ggmosaic)
# Make data set
region <- c("Oslo", "Oslo", "Oslo", "Viken", "Viken", "Viken",
"Nordland", "Nordland", "Nordland")
age <- c("young", "adult", "senior", "young", "adult", "senior",
"young", "adult", "senior")
pop <- c(145545, 462378, 89087, 299548, 729027, 223809, 52156, 136872, 51317)
df <- data.frame(region, age, pop)
df <- df %>%
group_by(region, age) %>%
summarise(pop = sum(pop)) %>%
mutate(senior = case_when(age == "senior" ~ pop))
# Get total population of each region
df_tot <- df %>%
group_by(region) %>%
summarise(poptot = sum(pop),
senior = median(senior, na.rm = TRUE)) %>%
mutate(senior_share = senior / poptot * 100) %>%
select(region, senior_share)
# Estimate senior share of each region
# Change order of regions
df <- df %>%
left_join(df_tot, by = "region") #%>%
# Fix the factors
df$region <- fct_reorder(df$region, df$senior_share)
df$age <- factor(df$age, levels = c("young", "adult", "senior"))
# Make mosaic plot
ggplot(data = df) +
geom_mosaic(aes(x = product(age, region), fill = age, weight = pop)) +
coord_flip() +
theme_minimal()
use this code , to set sequence ,