Open
Description
In this explanation for how to implement geom_boxplot with plotly (https://plotly.com/ggplot2/box-plots/#outliers) there is a mistake in the function used.
Currently the code example reads like this:
library(plotly)
set.seed(123)
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
p <- ggplot(df, aes(cut, price, fill = cut)) +
geom_boxplot(outlier.shape = NA) +
ggtitle("Ignore outliers in ggplot2")
# Need to modify the plotly object and make outlier points have opacity equal to 0
fig <- plotly_build(p)
fig$data <- lapply(fig$data, FUN = function(x){
x$marker = list(opacity = 0)
return(x)
})
fig
it should be
library(plotly)
set.seed(123)
df <- diamonds[sample(1:nrow(diamonds), size = 1000),]
p <- ggplot(df, aes(cut, price, fill = cut)) +
geom_boxplot(outlier.shape = NA) +
ggtitle("Ignore outliers in ggplot2")
# Need to modify the plotly object and make outlier points have opacity equal to 0
fig <- plotly_build(p)
fig$x$data <- lapply(fig$x$data, FUN = function(x){
x$marker = list(opacity = 0)
return(x)
})
fig
Note the difference fig$x$data
instead of fig$data
otherwise this won't remove the outliers.
Metadata
Metadata
Assignees
Labels
No labels