Should the shape scale `na.value` default to something?

[davidhodge931]

library(tidyverse)

p <- palmerpenguins::penguins |>
  ggplot() +
  geom_point(
    aes(x = flipper_length_mm, y = body_mass_g, colour = sex, shape = sex),
  )

p
#> Warning: Removed 11 rows containing missing values or values outside the scale range
#> (`geom_point()`).

p +
  scale_shape_discrete(na.value = 78)
#> Warning: Removed 2 rows containing missing values or values outside the scale range
#> (`geom_point()`).

^{Created on 2025-09-22 with reprex v2.1.1}

[teunbrand]

The answer to 'could it' is 'yes', but perhaps the bigger question is 'should it' (and if so, what should it be)?

[davidhodge931]

I think it should be something for similar reasons that colour/fill scales have it grey.

Not sure what it should be. Something a bit obscure probably..

[teunbrand]

So the same argument could be made for a linetype scale, and I also wouldn't know what best represents a missing linetype. And if we'd accept this for all discrete scales, why shouldn't we do this for continuous scales like size and linewidth as well (where it is also unclear what should be a good representation for missing values)? I think there is a risk of escalation here.

An argument is favour for grey as the missing colour value is that grey is the 'blandest' of all colours, missing all eccentricity you'd normally want out of a colour palette. I have trouble imagining the 'blandest' shape, linetype, size or linewidth.

[joranE]

The only candidate I could imagine working would be the unicode replacement character �

(This is not a serious suggestion.)

[smouksassi]

I often use the X / cross but it is on a case by case basis

library(ggplot2)
library(dplyr)

ggplot(mtcars %>% 
       mutate(cyl=ifelse(mpg<12,NA,cyl)),
       aes(hp,mpg))+
  geom_point(aes(colour=factor(cyl),
                 shape=factor(cyl)))+
  scale_shape_discrete( na.value = 4)

^{Created on 2025-09-24 with reprex v2.1.1}

note this does not work:
scale_shape_discrete( na.value = "cross")
this works:
scale_shape_discrete( na.value = translate_shape_string("cross"))

[davidhodge931]

I actually think cross (4) would be a pretty good default tbh.

Not sure what would be best for linetype. Maybe 6 if no better ideas, as would be least likely to match other values in the data??

It's better from a data analysis point of view to see the NAs in the data by default, as you can always drop them eaily by adding tidyr::drop_na before the ggplot call