I have a dataframe set up as follows:
| Region | Sub-region | March | April | May |
|---|---|---|---|---|
| A | A1 | 9.2 | 7.9 | 8.0 |
| A | A2 | 8.9 | 8.5 | 8.0 |
| A | A3 | 9.5 | 8.5 | 8.4 |
| B | B1 | 9.1 | 8.7 | 8.5 |
| B | B2 | 9.9 | 8.0 | 7.7 |
| C | C1 | 8.7 | 8.0 | 8.2 |
| C | C2 | 9.3 | 8.0 | 8.4 |
| C | C3 | 9.1 | 8.3 | 8.5 |
I've melted the dataframe so its in this format:
| Region | Sub-region | Variable | Value |
|---|
I'm trying to create a ggplot boxplot with a facet wrap/grid so that the output contains a panel for each region and within each panel is a boxplot for each sub-region. I've tried the below code but it's not the desired output:
p<- Name_SR %>%
ggplot(aes(value, sub_region))
geom_boxplot()
labs(title="",
subtitle ="
",
x="Percentage Difference",
y = "Sub-Region")
facet_wrap(~Region)
theme(panel.grid = element_blank(),
plot.margin=unit(c(1,6,1,1),"cm"),
plot.title = element_text(size=12),
plot.subtitle = element_text(size=10),
axis.title = element_text(size = 10))
q<- p theme(axis.text = element_text(size=8))
Would someone be able to help me please?
CodePudding user response：
I think this should do what you are looking for, if Name_SR is your melted df...
Name_SR %>%
ggplot(aes(x = sub_region, y = value)) #yours are the wrong way round
geom_boxplot()
facet_wrap(~Region, scales = "free_x") #free_x removes irrelevant subregions