Error when combining scale_color_manual and guide_legend (override.aes) in v3.3.4

[tungttnguyen]

With the reprex below, I got the following error when changing the alpha and size values using guide_legend (override.aes). Note that the current CRAN version (v3.3.3) worked without any error.

Error in `[[<-.data.frame`(`*tmp*`, i, value = c(0.6, 0.6)) : 
  replacement has 2 rows, data has 3

Reprex (data taken from this issue)

library(ggplot2)
packageVersion("ggplot2")
#> [1] '3.3.3.9000'

groups <- LETTERS[1:3]

df <- data.frame(
  x = rep(1:10, 3),
  y = rnorm(30),
  group = rep(groups, each = 10)
)

Set up manual color scale

my_color <- setNames(c("blue", "green", "red"), unique(df$group))
my_color
#>       A       B       C 
#>  "blue" "green"   "red"

Filter out group "A"

df1 <- df[df$group != "A", ]
df1
#>     x             y group
#> 11  1  0.7970884438     B
#> 12  2  1.0696606257     B
#> 13  3 -0.4524050451     B
#> 14  4  0.1683655197     B
#> 15  5  0.0723548494     B
#> 16  6  0.2621733369     B
#> 17  7 -0.6167289461     B
#> 18  8  0.3669677647     B
#> 19  9 -0.6197559708     B
#> 20 10 -0.6741798000     B
#> 21  1 -0.9238588784     C
#> 22  2  1.0908007314     C
#> 23  3 -0.8173714908     C
#> 24  4  0.3555677658     C
#> 25  5  0.0862835605     C
#> 26  6 -0.1650330989     C
#> 27  7 -0.6288903181     C
#> 28  8 -0.2195618380     C
#> 29  9  1.1759632572     C
#> 30 10  0.0005726088     C

n_group <- length(unique(df1$group))
n_group
#> [1] 2

p1 <- ggplot(df1, aes(x, y, colour = group)) +
  geom_point(size = 3)
p1

Legend for group "A" shows up even though we don't have it anymore (this wasn't the problem with v3.3.3 CRAN)

p1 +
  scale_colour_manual(
    "",
    values = my_color
  )

p1 +
  scale_colour_manual(
    "",
    values = my_color
  ) +
  guides(color = guide_legend(title = "",
                              override.aes = list(alpha  = rep(0.6, n_group),
                                                  size   = rep(6,   n_group)),
                              order = 1),
         stroke = "none",
         shape  = "none")
#> Error in `[[<-.data.frame`(`*tmp*`, i, value = c(0.6, 0.6)): replacement has 2 rows, data has 3

^{Created on 2021-06-14 by the reprex package (v2.0.0)}

[madelhorius]

This issue also occurs in the newest release version 3.3.4. As described, all colors in my_colors will appear in the legend, even if the respective values are not present in the data plotted. This was not the case in version 3.3.3. Ist this an intended behaviour?

[aosmith16]

This change may have been added when fixing issue 3451 to allow the values vector to have fewer elements than the data.

This was done in pull request #4471. There I can see the following lines added to manual_scale():

  if (is.null(limits)) {
    limits <- names(values)
  }

Changing the limits to the value names in this scenario, where the vector of names contains more values than the plotting dataset, could cause this new behavior. This approach would appear to potentially bypass the scale_manual() default drop = TRUE. The user would then need to manually set the limits to only the levels they want in the legend.

I haven't thought of a straightforward fix; maybe there is a way to set the limits to the names of only the values that are present in the dataset?

In terms of the original issue with override.aes, note if you want to set the overall look of all key symbols in the legend you can use constants instead of repeating values via rep():

override.aes = list(alpha  = 0.6,
                    size   = 6)

[clauswilke]

@aosmith16 Thanks for tracking this down. Yes, this is the problem. Not sure how to fix it either off the top of my head.

[teunbrand]

I've found setting limits = force to be a convenient workaround to the issue of the 'extra' legend items.

[pmenzel]

Oh, that new feature broke a lot of my plots too. limits = force fixed it, but I don't actually understand what it does.

I think the old behaviour was better, where one could define a list of colors to be used in all kinds of plots, without needing to add additional paramters to the scale_ functions.

[teunbrand]

To expand a bit on the workaround; scales can take functions or values as the limits. The function takes the computed (standard) limits as input. Using limits = force uses the force function to return the computed limits unchanged. Because the limits are now a function (and not NULL), the following branch (from #4511 (comment)) isn't entered:

ggplot2/R/scale-manual.r

Lines 135 to 137 in de5d63f

	if (is.null(limits)) {
	limits <- names(values)
	}

Which skips grabbing the limits from the named manual values.

In addition: perhaps, if the aim of #4471 was to allow fewer elements, then the line above could be changed to:

if (is.null(limits)) { 
  force(values)
  limits <- function(x) {intersect(x, names(values))}
} 

Which appears to be an easier solution than the one proposed in #4547, wherein the Scale ggproto object is altered for every scale.

[yutannihilation]

Fixed by #4619