Ggplot2: Transparent Legend Background When Stat_Smooth Is Used

I have two plots. One with smoothed lines:

library(splines)
library(ggplot2)

ggplot(mtcars, aes(hp, qsec)) + stat_smooth(aes(group = cyl,
       colour = factor(cyl)),
       method = "glm",
       formula = y ~ ns(x, 1),
       level = 1e-9,
       size = I(1)) +
  theme(panel.background=element_rect(fill="transparent",colour=NA),
        plot.background=element_rect(fill="transparent",colour=NA),
        legend.key = element_rect(fill = "transparent", colour = "transparent"))

and one without:

ggplot(mtcars, aes(hp, qsec)) +
  geom_point(aes(group = cyl, colour = factor(cyl))) +
  theme(panel.background=element_rect(fill="transparent",colour=NA),
        plot.background=element_rect(fill="transparent",colour=NA),
        legend.key = element_rect(fill = "transparent", colour = "transparent"))

How can I get a white or transparent legend background in the first plot? And why do the same theme-commands do the job in the second plot?

1 Answer

It seems like the grey background is coming from stat_smooth(), as explained here. Adding se=FALSE, which deactivates the confidence intervals, seems to fix it:

ggplot(mtcars, aes(hp, qsec)) + stat_smooth(aes(group = cyl,
   colour = factor(cyl)),
   method = "glm",
   formula = y ~ ns(x, 1),
   level = 1e-9,
   size = I(1), 
   se = FALSE) +
   theme(panel.background=element_rect(fill="transparent",colour=NA),
      plot.background=element_rect(fill="transparent",colour=NA),
      legend.key = element_rect(fill = "transparent", colour = "transparent"))

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Robert Thorne

Robert Thorne

Automotive & Future Transportation Editor

Robert Thorne covers electric vehicle innovations, autonomous driving systems, global mobility trends, and automotive engineering developments.

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