I am new to R. I am having trouble with the ordering of the geom_text
elements in the below geom_col
chart.
I believe it has something to do with the position = position_dodge2(preserve = "single")
line, but I am not sure.
Sample code and outputs attached. As you can see, the labels are wrong - e
and b
should be switched, as well as a
and d
.
Can someone with sharper eyes (and probably a sharper mind) see what the issue is?
library(ggplot2)
library(stringr)
data <- data.frame(Importance = c("Not important", "Important", "Critical", "Not important", "Important"), Current.Capability = c("Basic", "Undeveloped", "Advanced", "World class", "World class"), Function = c("PM", "Sales", "PM", "Marketing", "Marketing"), Item = c("a","b", "c", "d", "e"))
str(data)
head(data)
width <- 2
position.width <- width - 0.05
ggplot(data, aes(x = Importance, y = Current.Capability, fill=Function)) +
geom_col(position = position_dodge2(preserve = "single"), width = width) +
facet_grid(~Importance, scales = "free_x", space = "free_x") +
geom_text(
aes(
label = stringr::str_wrap(Item, 50)),
lineheight = 0.7,
angle=90,
size = 5,
hjust=0,
vjust=0.5,
y = 0.5,
position = position_dodge2(preserve = "single", width = position.width)) +
theme(axis.text.x = element_blank(), axis.ticks = element_blank()) +
theme(legend.position="bottom")+
scale_y_discrete(limits = c("Undeveloped", "Basic", "Advanced", "World class")) +
xlab("Importance") + ylab("Current Capability")
Nice work. Maybe you can try to add group = Importance
in the aesthetics of geom_text
. That is, to "explicitly define the grouping structure", see grouping. Also, here is a related case.
ggplot(data, aes(x = Importance, y = Current.Capability, fill=Function)) +
geom_col(position = position_dodge2(preserve = "single"), width = width) +
facet_grid(~Importance, scales = "free_x", space = "free_x") +
geom_text(
aes(
label = stringr::str_wrap(Item, 50),
group = Importance), # explicitly define the grouping structure
lineheight = 0.7,
angle=90,
size = 5,
hjust=0,
vjust=0.5,
y = 0.5,
position = position_dodge2(preserve = "single", width = position.width)) +
theme(axis.text.x = element_blank(), axis.ticks = element_blank()) +
theme(legend.position="bottom")+
scale_y_discrete(limits = c("Undeveloped", "Basic", "Advanced", "World class")) +
xlab("Importance") + ylab("Current Capability")