I use n.breaks to have a labeled x-axis mark for each cluster this works well for 4, 5, 6 clusters. Now I tried it with two cluster and it does not work anymore. I build the graphs like this:
country_plot <- ggplot(Data) + aes(x = Cluster) +
theme(legend.title = element_blank(), axis.title.y = element_blank()) +
geom_bar(aes(fill = country), stat = "count", position = "fill", width = 0.85) +
scale_fill_manual(values = color_map_3, drop = F) +
scale_x_continuous(n.breaks = max(unique(Data$Cluster))) + scale_y_continuous(labels = percent) +
ggtitle("Country")
and export it like this:
ggsave("country_plot.png", plot = country_plot, device = "png", width = 16, height = 8, units = "cm")
When it works it looks something like this:
But with two clusters I get something like this with only one mark beyond the actual bars with a 2.5:
I manually checked the return value of
max(unique(Data$Cluster))
and it returns 2 which in my understanding should lead to two x-axis marks with 1 and 2 like it works with more clusters.
edit:
mutate(country = factor(country, levels = 1:3)) %>%
mutate(country =fct_recode(country,!!!country_factor_naming))%>%
mutate(Gender = factor(Gender, levels = 1:2)) %>%
mutate(Gender = fct_recode(Gender, !!!gender_factor_naming))%>%
If I understand correctly the issue is caused by Cluster
being treated as continuous variable. It needs to be turned into a factor.
Here is a minimal, reproducible example using the mtcars
dataset that reproduces the unwanted behaviour:
library(ggplot2)
library(scales)
ggplot(mtcars) +
aes(x = gear, fill = factor(vs)) +
geom_bar(stat = "count", position = "fill", width = 0.85) +
scale_y_continuous(labels = percent)
In this example, gear
takes over the role of Cluster
and is assigned to the x-axis.
There are unwanted labeled tick marks at x
= 2.5, 3.5, 4.5, 5.5 which are due to the continuous scale.
n.breaks
given)ggplot(mtcars) +
aes(x = gear, fill = factor(vs)) +
geom_bar(stat = "count", position = "fill", width = 0.85) +
scale_x_continuous(n.breaks = length(unique(mtcars$gear))) +
scale_y_continuous(labels = percent)
Specifying n.breaks
in scale_x_continuous()
does not change the x-axis to discrete.
gear
as factor)When gear
is turned into a factor, we get a labeled tick mark for each factor value;
ggplot(mtcars) +
aes(x = factor(gear), fill = factor(vs)) +
geom_bar(stat = "count", position = "fill", width = 0.85) +
scale_y_continuous(labels = percent)