I am attempting to use geom_text() in ggplot to place sample sizes on a bar chart with defined limits determined by ggplot. For most of my plots, I have been able to get away with specifying the y-value for text placement as 0. However, for a few plots, the CI bars extend below 0.
In order to prevent printing the sample sizes on the CI bars, I want to generate code that specifies the y-value for geom_text() in relation to the plot margin that defines the x-axis. The idea would to generate general code relative to the x-axis so this code can be applied to all my plots regardless of where the minimum value of y is in the plot. Ideally, I would like to tweak my plot code to achieve this if possible. Thanks in advance for your input!
data <- structure(list(Site_long = structure(c(2L, 2L, 1L, 1L), .Label = c("Hanauma Bay",
"Waikiki"), class = "factor"), Shelter = structure(c(1L, 2L,
1L, 2L), .Label = c("Low", "High"), class = c("ordered", "factor"
)), mean = c(0.096818329015544, 0.140368187765273, 0.364490168863912,
0.452663275851282), sd = c(0.358269615215823, 0.442381836749624,
0.431417057945072, 0.461599742148954), lower = c(-0.13725115292546,
-0.148654612244481, 0.198658790631641, 0.337761753133984), upper = c(0.330887810956549,
0.429390987775027, 0.530321547096184, 0.56756479856858), sample_size = c(9L,
9L, 26L, 62L)), row.names = c(NA, -4L), groups = structure(list(
Site_long = structure(1:2, .Label = c("Hanauma Bay", "Waikiki"
), class = "factor"), .rows = structure(list(3:4, 1:2), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), row.names = 1:2, class = c("tbl_df",
"tbl", "data.frame"), .drop = TRUE), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"))
mult_compare_growth_all <- c("AB", "B", "A", "AB")
growth_plot <- ggplot(data = data, aes(fill=Shelter, y=mean, x=Site_long)) +
geom_bar(position = "dodge", stat="identity", width = .8) +
scale_x_discrete(limits = position) +
geom_errorbar(aes(ymin = lower, ymax = upper), position = position_dodge(.8), width = .1) +
geom_text(aes(label = mult_compare_growth_all, y = data$upper), vjust = -.5, position = position_dodge(width = 0.8), size = 4) +
scale_fill_grey(name = "Shelter", start = .8, end = .2) +
labs(x = "Site", y = expression(paste("Coral growth (cm"^"2","/quarter)"))) +
theme_classic(base_size = 14.5) +
theme(text = element_text(size = 18), legend.position = "none",
axis.title.x = element_blank(),
axis.text.y = element_text(angle = 90),
axis.text.x = element_blank())
You can use y = -Inf
to orient the text position. In order to keep the text inside the plot, you must couple a vjust
factor with Inf
, otherwise, the text will fall out of the plot.
Here is the code:
ggplot(data = data, aes(fill=Shelter, y=mean, x=Site_long)) +
geom_bar(position = "dodge", stat = "identity", width = .8) +
geom_errorbar(aes(ymin = lower, ymax = upper), position = position_dodge(.8), width = .1) +
geom_text(aes(label = mult_compare_growth_all, y = data$upper), vjust = -.5,
position = position_dodge(width = .8), size = 4) +
geom_text(aes(label = sample_size, y = -Inf), vjust = -.3,
position = position_dodge(width = .8)) +
scale_fill_grey(name = "Shelter", start = .8, end = .2) +
labs(x = "Site", y = expression(paste("Coral growth (cm"^"2","/quarter)"))) +
theme_classic(base_size = 14.5) +
theme(text = element_text(size = 18), legend.position = "none",
axis.title.x = element_blank(),
axis.text.y = element_text(angle = 90),
axis.text.x = element_blank())
And the output:
Let me know if this is what you are looking for.