Would love to see geom_GeomBracket() to be implemented in plotly
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 2.7k
- Forks
- 641
- PR merge metrics
- No merged PRs in 30d
Description
Hello,
I am a big fan of plotly because of its interactive features and unlike any other normal static plots. I usually use ggplot to visualize my data and then use a ggplotly to make my plot into a plotly interactive plot, but for boxplot with p-value bracket , plotly does not show that feature. I would really appreciated if that feature could be added to plotly as well in the future.
df <- ToothGrowth
df$dose <- as.factor(df$dose)
head(df, 3)
stat.test <- df %>%
group_by(dose) %>%
t_test(len ~ supp) %>%
adjust_pvalue(method = "bonferroni") %>%
add_significance("p.adj")
stat.test
# Create a box plot
bxp <- ggboxplot(
df, x = "dose", y = "len",
color = "supp", palette = c("#00AFBB", "#E7B800")
)
# Add p-values onto the box plots
stat.test <- stat.test %>%
add_xy_position(x = "dose", dodge = 0.8)
bxp + stat_pvalue_manual(
stat.test, label = "p", tip.length = 0
)
#pvalue disappear
ggplotly(bxp + stat_pvalue_manual(
+ stat.test, label = "p", tip.length = 0
+ ))
Warning message:
In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomBracket() has yet to be implemented in plotly.
If you'd like to see this geom implemented,
Please open an issue with your example code at
https://github.com/ropensci/plotly/issues
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at the geom2trace.default warning shown in the example and inspect how ggplotly handles the supplied geom_GeomBracket(). Reproduce the ToothGrowth example, then verify that the bracket and p-values appear in the interactive plot without the unimplemented-geom warning.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100