Comments (1)
Hey, sorry for the late response.
The trick if you have to deal with outliers is that you have to set the y_position
of the bar manually.
ggplot(mydf, aes(x=Group, y=Value, fill=Group)) +
geom_boxplot(outlier.shape = NA) +
geom_signif(comparisons = list(c("C", "FH")), y_position=3.3,
tip_length = 0) +
coord_cartesian(ylim = c(-3, 5))
from ggsignif.
Related Issues (20)
- Manual vertical brackets do not work: "arguments imply differing number of rows" HOT 1
- Warning message: Ignoring unknown aesthetics: xmin, xmax, annotations, y_position HOT 3
- adding scale_y_log10 changes y-axis to a weird range
- geom_signif does not plot comparison on the facetted plot with free x scale HOT 2
- Where can we find the significance level in the ggplot object slots? HOT 1
- Rename default branch from `master` to `main` HOT 3
- CRAN release 0.6.4 HOT 3
- Correcting for multiple testing when using geom_signif HOT 5
- Feature request - add more distance between comparisons and data HOT 4
- geom_signif - all comparisons dissappear when one comparison has missings HOT 2
- Significance stars are misaligned when using "NS" as well
- ggsignif results don't match with anova significance HOT 1
- Use cross symbol when p <.10?
- what are * , ** , *** correspond if specific values by user is not given? HOT 1
- How do I hide the no significant (NS) comparisons?
- Adding significance bar on coupled boxplots
- FDR warning HOT 1
- Show exact p value in comparisons HOT 3
- ggsignif facetting issue - Missing significance labels in certain facets
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from ggsignif.