I'm trying to place count labels in a ggplot2 barplot and I haven't been able to do it. I need to display the number of pixels within each temperature range. The dataframe was built from a raster: EneroT5cmSC
datene <- as.data.frame(EneroT5cmSC,xy=TRUE)%>%drop_na()
datene$cuts <- cut(datene$layer, breaks=seq(21, 29, length.out=12))
dput:
datene_stuc <- structure(
list(
x = c(-57.063098328,-57.021448328,-56.996458328,-56.988128328),
y = c(-30.087481664,-30.087481664,-30.087481664,-30.087481664),
layer = c(
25.6227328470624,
26.6386584334308,
26.0636709134397,
26.0580615984563
),
cuts = structure(
c(7L, 9L,
8L, 8L),
.Label = c(
"(20,20.8]",
"(20.8,21.6]",
"(21.6,22.5]",
"(22.5,23.3]",
"(23.3,24.1]",
"(24.1,24.9]",
"(24.9,25.7]",
"(25.7,26.5]",
"(26.5,27.4]",
"(27.4,28.2]",
"(28.2,29]"
),
class = "factor"
)
),
row.names = c(NA,
4L),
class = "data.frame")
Barplot code:
ggplot() +
geom_bar(data = datene, aes(cuts, fill = cuts)) +
scale_fill_viridis_d(option = "B",'Temp (Cº)') +
theme(axis.title.x=element_blank(), axis.title.y=element_blank()) +
geom_text(aes(label = ..count..), stat = "count", vjust = 1.5, colour = "black")
If you replace the code arguments from geom_bar
to ggplot()
and change vjust = -1
it works like this:
datene_stuc <- structure(
list(
x = c(-57.063098328,-57.021448328,-56.996458328,-56.988128328),
y = c(-30.087481664,-30.087481664,-30.087481664,-30.087481664),
layer = c(
25.6227328470624,
26.6386584334308,
26.0636709134397,
26.0580615984563
),
cuts = structure(
c(7L, 9L,
8L, 8L),
.Label = c(
"(20,20.8]",
"(20.8,21.6]",
"(21.6,22.5]",
"(22.5,23.3]",
"(23.3,24.1]",
"(24.1,24.9]",
"(24.9,25.7]",
"(25.7,26.5]",
"(26.5,27.4]",
"(27.4,28.2]",
"(28.2,29]"
),
class = "factor"
)
),
row.names = c(NA,
4L),
class = "data.frame")
library(ggplot2)
ggplot(data = datene_stuc, aes(cuts, fill = cuts)) +
geom_bar() +
geom_text(aes(label = ..count..), stat = "count", vjust = -1, colour = "black") +
scale_fill_viridis_d(option = "B",'Temp (Cº)') +
theme(axis.title.x=element_blank(), axis.title.y=element_blank())
Created on 2022-07-17 by the reprex package (v2.0.1)