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When the stat_pvalue_manual function of ggpubr is called:

ggplot + stat_pvalue_manual(statistics, label = "p.adj.signif", 
                 coord.flip = TRUE,
                 #hide.ns = TRUE, 
                 tip.length = 0,
                 bracket.size = 0)+coord_flip()

The following graph is produced: stat_pvalue_manual with ns

However, I am only interested in data that is significant, therefore I have omitted non-significant data by calling hide.ns = TRUE as follows:

ggplot + stat_pvalue_manual(statistics, label = "p.adj.signif", 
                 coord.flip = TRUE,
                 hide.ns = TRUE, 
                 tip.length = 0,
                 bracket.size = 0)+coord_flip()

This creates empty space that the non-significant data previously occupied. Is there a way to remove it?

stat_pvalue_manual without ns

To calculate the xy positions, this is done as follows in the statistics object:

statistics <- dataframe %>%
tukey_hsd(value~group) %>%
add_xy_position(fun = "mean_se", x= "group")

Thanks in advance!

Shawn Hemelstrand
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Dieuterium
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1 Answers1

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I did this by filtering the statistics table to only show significant values.

statistics <- statistics %>% filter(p.adj.signif != "ns")

ggplot + stat.pvalue_manual(statistics, label = "p.adj.signif")
Jonathan
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EMars
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