My question is very similar to this and this and also this question. I have a scatterplot (using geom_point
) coloured by a factor, using a particular colour palette. I'm using stat_smooth
to draw certain smoothing lines through the points, grouped by another factor. I'd like these lines to use a different colour palette.
Here is a Dropbox link to some example data . Just do a
currDT <- read.table("SO_data", sep = "|", header = TRUE, strip.white = TRUE)
I usually have my data in a data.table, so you might find it helpful change that as well. Oh and here is the colour scheme I'm using at the moment, you can use scale_colour_brewer
to generate your own, I'm just including this for completeness.
my_col_scheme <- c("#e41a1c", "#377eb8", "#4daf4a", "#984ea3", "#ff7f00", "#7B8A7B",
"#0B29D6", "#f781bf", "#999999", "black")
Hopefully that is clear enough. Here is some example code:
icorr_elec <- ggplot(currDT,
aes(x = EFP, y = SAPT), na.rm = TRUE) +
geom_point(aes(colour = Anion, shape = Cation), size = 3, alpha = 0.4) +
scale_colour_manual(values = my_col_scheme) +
stat_smooth(method = "lm", formula = y ~ x + 0, aes(linetype = Halide, colour = Halide),
alpha = 0.8, size = 0.5, level = 0) +
scale_linetype_manual(name = "", values = c("dotdash", "F1"),
breaks = c("hal", "non-hal"), labels = c("Halides", "Non-Halides"))
How can this be done in ggplot2? From the other questions I gathered I could specify each line manually, but I'd like to avoid that.
You can get separate color mappings for the lines and the points by using a filled point marker for the points and mapping that to the fill
aesthetic, while keeping the lines mapped to the colour
aesthetic. Filled point markers are those numbered 21 through 25 (see ?pch
). Here's an example, adapting @RichardErickson's code:
ggplot(currDT, aes(x = EFP, y = SAPT), na.rm = TRUE) +
stat_smooth(method = "lm", formula = y ~ x + 0,
aes(linetype = Halide, colour = Halide),
alpha = 0.8, size = 0.5, level = 0) +
scale_linetype_manual(name = "", values = c("dotdash", "F1"),
breaks = c("hal", "non-hal"), labels = c("Halides", "Non-Halides")) +
geom_point(aes(fill = Anion, shape = Cation), size = 3, alpha = 0.4, colour="transparent") +
scale_colour_manual(values = c("blue", "red")) +
scale_fill_manual(values = my_col_scheme) +
scale_shape_manual(values=c(21,24)) +
guides(fill = guide_legend(override.aes = list(colour=my_col_scheme[1:8],
shape=15, size=3)),
shape = guide_legend(override.aes = list(shape=c(21,24), fill="black", size=3)),
colour = guide_legend(override.aes = list(linetype=c("dotdash", "F1"))),
linetype = FALSE)
Here's an explanation of what I've done:
geom_point
, change colour
aesthestic to fill
. Also, put colour="transparent"
outside of aes
. That will get rid of the border around the points. If you want a border, set it to whatever border color you prefer.scale_colour_manual
, I've set the colors to blue and red, but you can, of course, set them to whatever you prefer.scale_fill_manual
to set the colors of the points using the fill
aesthetic.scale_shape_manual
and set the values to 21 and 24 (filled circles and triangles, respectively).guides()
is to modify the legend. I'm not sure why, but without these overrides, the legends for fill and shape are blank. Note that I've set fill="black"
for the shape
legend, but it's showing up as gray. I don't know why, but without fill="somecolor"
the shape
legend is blank. Finally, I overrode the colour
legend in order to include the linetype in the colour legend, which allowed me to get rid of the redundant linetype
legend. I'm not totally happy with the legend, but it was the best I could come up with without resorting to special-purpose grobs. NOTE: I changed color=NA
to color="transparent"
, as color=NA
(in version 2 of ggplot2) causes the points to disappear completely, even if you use a point with separate border and fill colors. Thanks to @aosmith for pointing this out .
I don't think ggplot2
will let you change color twice and update the legend. I seem to recall reading that you cannot change scale_color_manual
twice in a plot. I couldn't find that webpage, but this post touches on the topic. I also tried using the suggestions in this post , but that didn't work. Probably because we're trying to mix geoms
(but that's just a guess).
I can get either the regression lines colored:
part1 <-
ggplot(currDT,
aes(x = EFP, y = SAPT), na.rm = TRUE) +
stat_smooth(method = "lm", formula = y ~ x + 0,
aes(linetype = Halide, colour = Halide),
alpha = 0.8, size = 0.5, level = 0) +
scale_linetype_manual(name = "", values = c("dotdash", "F1"),
breaks = c("hal", "non-hal"),
labels = c("Halides", "Non-Halides")) +
scale_color_manual(name = "", values = c("red", 'blue'),
labels = c("Halides", "Non-Halides"))
ggsave('part1.jpeg', part1)
Or the data points to plot:
part2 <-
ggplot(currDT,
aes(x = EFP, y = SAPT), na.rm = TRUE) +
geom_point(aes(color = Anion, shape = Cation), size = 3, alpha = 0.4) +
scale_linetype_manual(name = "", values = c("dotdash", "F1"),
breaks = c("hal", "non-hal"),
labels =c("Halides", "Non-Halides")) +
scale_colour_manual(values = my_col_scheme)
ggsave('part2.jpeg', part2)
But not both:
both <-
ggplot(currDT,
aes(x = EFP, y = SAPT), na.rm = TRUE) +
stat_smooth(method = "lm", formula = y ~ x + 0,
aes(linetype = Halide, colour = Halide),
alpha = 0.8, size = 0.5, level = 0) +
scale_linetype_manual(name = "", values = c("dotdash", "F1"),
breaks = c("hal", "non-hal"), labels = c("Halides", "Non-Halides")) +
geom_point(aes(color = Anion, shape = Cation), size = 3, alpha = 0.4) +
scale_colour_manual(values = my_col_scheme)
ggsave('both.jpeg', both)
I think you're going to need to add each line manual. Hopefully somebody else knows how to answer this, but I don't think @hadley allows both colors to changed. Luckily, you're data.table
so it should be easy to do :-)
Comment to anybody else trying to solve this Hopefully my partial answer helps you to answer this question. Also, my third figure shows how ggplot2
isn't getting the legend color
correct
as the OP wants it. As another tip, you might try playing around with the legend options.
为了完整起见 - 现在使用ggnewscale
包可以轻松地为相同的美学添加两个比例
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