I have been trying to plot a series of boxplots by using the ggboxplot() function associated with stat_compare_means - by using stat_compare_means() - without much success. When I don't try to fix the limits of both x and y axes, I am able to plot everything in the why I want. However, I have to fix limits of the y axis in order to make my boxplots comparable across different areas/samples. When I do fix these limits, the top portion of my plots gets cut off and I can't see the mean values comparisons' significance levels.
The code I'm using to produce the boxplots without fixing y axis limits is the following:
p1 <- ggboxplot(temp3[which(temp3$Nucleus == "Bolivia"),], x = "Biome", y =
"pH",
color = "Biome", add = "jitter", shape = "Biome",
palette = c("springgreen4", "blue", "gray50"))
p2 <- ggboxplot(temp3[which(temp3$Nucleus == "Brazil"),], x = "Biome", y =
"pH",
color = "Biome", add = "jitter", shape = "Biome",
palette = c("springgreen4", "blue", "gray50"))
p3 <- ggarrange(p1 + stat_compare_means(comparisons=my_comparisons),
p2 + stat_compare_means(comparisons=my_comparisons),
labels = c("Bolivia", "Brazil"),
ncol = 2, nrow = 1)
And this is how I've been trying to fix the y-axis' limits so I can have the same limits for all of my boxplots:
p1 <- ggboxplot(temp3[which(temp3$Nucleus == "Bolivia"),], x = "Biome", y =
"pH",
color = "Biome", add = "jitter", shape = "Biome",
palette = c("springgreen4", "blue", "gray50"))
p2 <- ggboxplot(temp3[which(temp3$Nucleus == "Brazil"),], x = "Biome", y =
"pH",
color = "Biome", add = "jitter", shape = "Biome",
palette = c("springgreen4", "blue", "gray50"))
p1.1 <- ggpar(p1, ylim = c(3,9), ylab = "pH")
p2.1 <- ggpar(p2, ylim = c(3,9), ylab = "pH")
p3 <- ggarrange(p1.1 + stat_compare_means(comparisons=my_comparisons),
p2.1 + stat_compare_means(comparisons=my_comparisons),
labels = c("Bolivia", "Brazil"),
ncol = 2, nrow = 1)
Using ggarrange() did deal with the axes properly, but now I can't see all of the pairwise mean comparisons I have on top of my boxplots. What should I do in order to deal with this problem?
Any help is much appreciated.
Thanks,
Pedro