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Is it possible to use the position dodge argument with the ggboxplot function? I want to reduce the gaps between the x axis groups (control, treat and oc). Is there any other way to do that? The idea is to plot two individual boxplots for the groups then a boxplot with all the data in the between them, but with a smaller gap between groups to reduce the white space.
Here is the code that I am running and the resulting plot: plot <- ggboxplot(sp_bplot_df, x = "exp", y = "V_cmax", color = "species", palette =c("#00AFBB", "#E7B800", "#FC4E07"), merge = T, width = 0.1, add = "point", ggtheme = custom_theme) + geom_boxplot(width = 0.06, outlier.shape = 19, fill = "#9ddff7") + stat_summary(fun = mean, geom = "point", shape = 18)
The text was updated successfully, but these errors were encountered:
Is it possible to use the position dodge argument with the ggboxplot function? I want to reduce the gaps between the x axis groups (control, treat and oc). Is there any other way to do that? The idea is to plot two individual boxplots for the groups then a boxplot with all the data in the between them, but with a smaller gap between groups to reduce the white space.
Here is the code that I am running and the resulting plot:
plot <- ggboxplot(sp_bplot_df, x = "exp", y = "V_cmax", color = "species", palette =c("#00AFBB", "#E7B800", "#FC4E07"), merge = T, width = 0.1, add = "point", ggtheme = custom_theme) + geom_boxplot(width = 0.06, outlier.shape = 19, fill = "#9ddff7") + stat_summary(fun = mean, geom = "point", shape = 18)
The text was updated successfully, but these errors were encountered: