Nothing plotted or lines and dots are Grey with manual_scale when a named vector is used as the input.

[AlexanderCasper]

Ref to: #4087

Try:

colors_named_vector <- c(
  red = "red",
  blue = "blue",
  green = "green"
)


library(ggplot2)

ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
  geom_point() %>% 
  scale_color_manual(values=colors_named_vector)

it seems as if it has not been fixed

[thomasp85]

As stated in the documentation, if the input to values is a named vector the names will be used to match the values to the levels of the scale. Since iris$Species doesn't contain any values matching the names of your vector they will all be set to na.value

[teunbrand]

In addition to Thomas' comments, the next version will warn you that there are no names/values in common. Not quite sure why it warns twice though.

colors_named_vector <- c(
  red = "red",
  blue = "blue",
  green = "green"
)

library(ggplot2)

ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
  geom_point() +
  scale_color_manual(values=colors_named_vector)
#> Warning: No shared levels found between `names(values)` of the manual scale and the
#> data's colour values.
#> No shared levels found between `names(values)` of the manual scale and the
#> data's colour values.

^{Created on 2024-01-30 with reprex v2.1.0}

[thomasp85]

Also, you are using %>% instead of + when adding the scale. This is a working version of your code

colors_named_vector <- c(
    setosa = "red",
    versicolor = "blue",
    virginica = "green"
)


library(ggplot2)

ggplot(iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
    geom_point() +
    scale_color_manual(values=colors_named_vector)