Is it possible to remove certain/specific labels from geom_bar ggplot (geom_text) for repeated values and center this value on the plot/bars?
My data:
structure(list(prey_name = c("Amphipod", "Byths", "Chiro.Adult",
"Chiro.Larvae", "Chiro.Pupae", "Chironomidae", "Chydoridae",
"Copepoda", "Cyclopoid", "Daphnia", "Dreissena", "EggMass", "Eurycercidae",
"Fish.Eggs", "Goby", "Hemimysis", "Isopod", "Sphaeriidae", "Trichopteran",
"UID.Fish"), Fi = c(0.189473684210526, 0.515789473684211, 0.0526315789473684,
0.157894736842105, 0.252631578947368, 0.0526315789473684, 0.0105263157894737,
0.0210526315789474, 0.0105263157894737, 0.147368421052632, 0.0842105263157895,
0.0210526315789474, 0.0210526315789474, 0.0105263157894737, 0.147368421052632,
0.0105263157894737, 0.0947368421052632, 0.0421052631578947, 0.0105263157894737,
0.0210526315789474)), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -20L))
My plot:
ggplot(FO_adult, aes(x=reorder(prey_name, -Fi), Fi, fill=prey_name)) +
geom_bar(stat = "identity") +
geom_text(aes(y = Fi, label = round(Fi, digits=3)), vjust = -0.5,
check_overlap = TRUE) +
ggtitle("Frequency of Occurrence") +
labs(x="Prey", fill = "Prey Name", y = "Frequency of Occurrence (%)",
caption = "Source: DNR Diet Data") +
scale_fill_igv(palette = "default") +
theme_bw() +
theme(legend.position = "right",
plot.title = element_text(hjust=0.5),
legend.background = element_rect(fill = "white", color = 1),
axis.text.x = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.length = unit(0.2,"cm")) +
scale_y_continuous(expand = expansion(mult = c(0,0.1)))
Which gives:
My question is, is it possible to just have one label for the values that repeat? For example, 0.147 occurs twice (Daphnia and Goby); 0.053 for other prey; 0.021, etc. Can I have these values on the plot just once and have it centered?
I know I could subset and do something like this:
ggplot(FO_adult, aes(x=reorder(prey_name, -Fi), Fi, fill=prey_name)) +
geom_bar(stat = "identity") +
geom_text(data = subset(FO_adult, Fi > 0.10),
aes(y = Fi, label = round(Fi, digits=3)), vjust = -0.5) +
ggtitle("Frequency of Occurrence") +
labs(x="Prey", fill = "Prey Name", y = "Frequency of Occurrence (%)",
caption = "Source: DNR Diet Data") +
scale_fill_igv(palette = "default") +
theme_bw() +
theme(legend.position = "right",
plot.title = element_text(hjust=0.5),
legend.background = element_rect(fill = "white", color = 1),
axis.text.x = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.length = unit(0.2,"cm")) +
scale_y_continuous(expand = expansion(mult = c(0,0.1)))
which removes labels for values that are less than 10%, but I would prefer to keep the others if possible...
I looked at the following SO posts but did not really answer my question: remove duplicate labels & remove selected labels
Also, I know this is a separate question but maybe the answer is simple... is it possible to arrange the legend in the same order as the plot (have the legend in this order: Byths, Chiro.Pupae, Amphipod, Chiro.Larvae, etc...)?
I think this just requires a bit of data manipulation. Remember a discrete axis is "really" a numeric axis with factor level labels at the integers, so some data wrangling allows calculation of the x, y positions of each label.
To get the legend in the same order as the x axis, simply reorder the fill aesthetic the same as you reorder the x aesthetic:
library(tidyverse)
ggplot(FO_adult, aes(x = reorder(prey_name, -Fi), Fi,
fill = reorder(prey_name, -Fi))) +
geom_col() +
geom_text(data = FO_adult %>%
mutate(label = round(Fi, digits = 3),
prey_num = as.numeric(reorder(prey_name, -Fi))) %>%
group_by(label) %>%
summarize(n = n(),
label = first(label),
Fi = first(Fi),
prey_num = first(prey_num),
prey_name = first(prey_name)),
aes(x = prey_num + (n - 1)/2, y = Fi, label = label), vjust = -0.5,
check_overlap = TRUE) +
ggtitle("Frequency of Occurrence") +
labs(x="Prey", fill = "Prey Name", y = "Frequency of Occurrence (%)",
caption = "Source: DNR Diet Data") +
scale_fill_igv(palette = "default") +
theme_bw() +
theme(legend.position = "right",
plot.title = element_text(hjust=0.5),
legend.background = element_rect(fill = "white", color = 1),
axis.text.x = element_blank(),
axis.ticks.x = element_blank(),
axis.ticks.length = unit(0.2,"cm")) +
scale_y_continuous(expand = expansion(mult = c(0,0.1)))