I'm trying to create a violin plot on a rocky shore survey, exposed vs sheltered. I keep have groups deleted that I need.
# Violin plot
P5s <- ggplot(Example_data, aes(x=Species, y=Mean_perc), font="calibri")
geom_violin()
P5s
# Violin plot with difference between sheltered and exposed side
P6se <- ggplot(data, aes(x=Species, y=Mean_perc, fill=Location), font="calibri")
geom_violin()
scale_fill_discrete(labels=c("Exposed","Sheltered"))
theme(axis.text.x = element_text(angle=90, vjust= 0.5))
P6se
# Violin plot with difference between sheltered and exposed side
P6se <- ggplot(Example_data, aes(x=Species, y=Mean_perc, fill=Location), font="calibri")
geom_violin()
geom_point(data = filter(Example_data, Species_loc_n == 1), aes(color = Location), show.legend = FALSE)
scale_fill_discrete(labels=c("Exposed","Sheltered"))
theme(axis.text.x = element_text(angle=90, vjust= 0.5))
P6se
Violins might not be the best choice for these data, though. I would try it with boxplots, or maybe just a simple scatterplot.