Closed powerinformatics closed 7 years ago
Hi,
the issue you raise is very puzzling indeed...
To quickly fix the problem, just define the group in aes(x=x,xend=xend, y=y, yend=y, annotation=annotation, group=c(1,2))
:
ggplot(dat, aes(Group, Value)) +
geom_bar(aes(fill = Sub), stat="identity", position="dodge", width=.5) +
geom_signif(comparisons=list(c("S1", "S2")), annotations="***",
y_position = 9.3, tip_length = 0, vjust=0.4) +
geom_signif(stat="identity",
data=data.frame(x=c(0.875, 1.875), xend=c(1.125, 2.125),
y=c(5.8, 8.5), annotation=c("**", "**")),
aes(x=x,xend=xend, y=y, yend=y, annotation=annotation, group=c(1,2))) +
scale_fill_manual(values = c("grey80", "grey20"))
The problem is that currently the data is separated by annotation into different groups and if the annotation is identical for some rows it is assumed that it's just a more complex definition of the bracket.
I will see if I can find a better pattern to avoid confusion or I will update the documentation in the next release.
In the new v.0.3.0 release I have extended the capability of the package to put brackets at custom locations, where only xmin
, xmax
and y_position
are provided. The new code for the example thus looks like this:
dat <- data.frame(Group = c("S1", "S1", "S2", "S2"),
Sub = c("A", "B", "A", "B"),
Value = c(3,5,7,8))
ggplot(dat, aes(Group, Value)) +
geom_bar(aes(fill = Sub), stat="identity", position="dodge", width=.5) +
geom_signif(y_position=c(5.3, 8.3), xmin=c(0.8, 1.8), xmax=c(1.2, 2.2),
annotation=c("**", "NS"), tip_length=0) +
geom_signif(comparisons=list(c("S1", "S2")),
y_position = 9.3, tip_length = 0, vjust=0.2) +
scale_fill_manual(values = c("grey80", "grey20"))
This avoids the unnecessary complicated definition of the data.frame and aes
in the geom_signif
call.
I will close this issue, but you can re-open it if I missed anything.
Hi Constantin, The package you provide is exceedingly useful. But I'm troubled by the function aes(annotation=). The annotation would be merged and drawn on the midpoint coordinate, when the annotation contain duplicate contents. You can try this code which comes from the site https://cran.r-project.org/web/packages/ggsignif/vignettes/intro.html. After I modified the content of annotation, the strange result emerged.
geom_signif(stat="identity", data=data.frame(x=c(0.875, 1.875), xend=c(1.125, 2.125), y=c(5.8, 8.5), annotation=c("**", "**")), aes(x=x,xend=xend, y=y, yend=y, annotation=annotation))
Waitting for your solution.